Search

Background: Artificial intelligence (AI) chatbots such as ChatGPT are expected to impact vision health care significantly. Their potential to optimize the consultation process and diagnostic capabilities across range of ophthalmic subspecialties have yet to be fully explored., Objective: This study aims to investigate the performance of AI chatbots in recommending ophthalmic outpatient registration and diagnosing eye diseases within clinical case profiles., Methods: This cross-sectional study used clinical cases from Chinese Standardized Resident Training-Ophthalmology (2nd Edition). For each case, 2 profiles were created: patient with history (Hx) and patient with history and examination (Hx+Ex). These profiles served as independent queries for GPT-3.5 and GPT-4.0 (accessed from March 5 to 18, 2024). Similarly, 3 ophthalmic residents were posed the same profiles in a questionnaire format. The accuracy of recommending ophthalmic subspecialty registration was primarily evaluated using Hx profiles. The accuracy of the top-ranked diagnosis and the accuracy of the diagnosis within the top 3 suggestions (do-not-miss diagnosis) were assessed using Hx+Ex profiles. The gold standard for judgment was the published, official diagnosis. Characteristics of incorrect diagnoses by ChatGPT were also analyzed., Results: A total of 208 clinical profiles from 12 ophthalmic subspecialties were analyzed (104 Hx and 104 Hx+Ex profiles). For Hx profiles, GPT-3.5, GPT-4.0, and residents showed comparable accuracy in registration suggestions (66/104, 63.5%; 81/104, 77.9%; and 72/104, 69.2%, respectively; P=.07), with ocular trauma, retinal diseases, and strabismus and amblyopia achieving the top 3 accuracies. For Hx+Ex profiles, both GPT-4.0 and residents demonstrated higher diagnostic accuracy than GPT-3.5 (62/104, 59.6% and 63/104, 60.6% vs 41/104, 39.4%; P=.003 and P=.001, respectively). Accuracy for do-not-miss diagnoses also improved (79/104, 76% and 68/104, 65.4% vs 51/104, 49%; P<.001 and P=.02, respectively). The highest diagnostic accuracies were observed in glaucoma; lens diseases; and eyelid, lacrimal, and orbital diseases. GPT-4.0 recorded fewer incorrect top-3 diagnoses (25/42, 60% vs 53/63, 84%; P=.005) and more partially correct diagnoses (21/42, 50% vs 7/63 11%; P<.001) than GPT-3.5, while GPT-3.5 had more completely incorrect (27/63, 43% vs 7/42, 17%; P=.005) and less precise diagnoses (22/63, 35% vs 5/42, 12%; P=.009)., Conclusions: GPT-3.5 and GPT-4.0 showed intermediate performance in recommending ophthalmic subspecialties for registration. While GPT-3.5 underperformed, GPT-4.0 approached and numerically surpassed residents in differential diagnosis. AI chatbots show promise in facilitating ophthalmic patient registration. However, their integration into diagnostic decision-making requires more validation., (©Shuai Ming, Xi Yao, Xiaohong Guo, Qingge Guo, Kunpeng Xie, Dandan Chen, Bo Lei. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 14.11.2024.)

Red eye is a common condition characterized by eye redness, often accompanied by itching, burning, pain, or discharge. This condition can be caused by a multitude of factors, ranging from minor irritations to severe infections. Red eyes are a frequent complaint in outpatient practice. Only a small percentage of patients with red eyes require urgent ophthalmological referral and treatment, while the vast majority can be managed by a general practitioner., Competing Interests: les auteur-es n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Vision computer-aided diagnostic methods have been used in early ophthalmic disease screening and diagnosis. However, the limited output formats of these methods lead to poor human-computer interaction and low clinical applicability value. Thus, ophthalmic visual question answering is worth studying. Unfortunately, no practical solutions exist before Large Language Models(LLMs). In this paper, we investigate the ophthalmic visual diagnostic interaction problem. We construct an ophthalmology large language-and-vision assistant, OphGLM, consisting of an image encoder, a text encoder, a fusion module, and an LLM module. We establish a new Chinese ophthalmic fine-tuning dataset, FundusTuning-CN, including the fundus instruction and conversation sets. Based on FundusTuning-CN, we establish a novel LLM-tuning strategy to introduce visual model understanding and ophthalmic knowledge into LLMs at a low cost and high efficiency. Leveraging the pre-training of the image encoder, OphGLM demonstrates strong visual understanding and surpasses open-source visual language models in common fundus disease classification tasks. The FundusTuning-CN enables OphGLM to surpass open-source medical LLMs in both ophthalmic knowledge and interactive capabilities. Our proposed OphGLM has the potential to revolutionize clinical applications in ophthalmology. The dataset, code, and models will be publicly available at https://github.com/ML-AILab/OphGLM., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Indigenous people are often neglected in eye health research and service delivery programs, despite having a greater burden of vision loss, most of which is avoidable. The objective of this work was to improve access to specialist eye care for Indigenous Australians living in rural and remote areas, by providing direct access to expert diagnostic services based in metropolitan areas through a tele-ophthalmology system. Methods: Over a four-year study period, 13 remote communities in Queensland and the Northern Territory were identified that had limited or no access to eye screening services. Relationships with health service providers in the communities were established to codesign a sustainable model of service delivery and referral pathways to ensure that patients identified with eye issues received appropriate treatment. Results: Over the course of the study, screening records from 378 patients were uploaded to a web-based telehealth system and diagnosed by ophthalmologists. From these examinations, 64 new cases of diabetic retinopathy (DR) were identified (including 2 cases of proliferative DR and 4 cases of severe nonproliferative DR), and diabetic macular edema was noted in 18 patients. The majority of participants screened had no eye problems, which enables the removal of these patients from the queues of overwhelmed specialist lists, improving service efficiency. The study also demonstrates capacity building of healthcare workers to perform eye screening and improved patient health awareness where the retinal cameras were used as an educational tool. Conclusions: A valuable screening service has been established in the target areas, where access to ophthalmic services has been improved for residents of the study screening locations. Routine eye examination (instead of opportunistic eye examination) is feasible for early detection of some eye diseases for remote and rural patients.

Virtual reality presents an efficient and engaging approach to ophthalmological diagnosis and treatment in children. This systematic review investigates the current state of eye tracking technology integrated into virtual reality for the spectrum of pediatric ophthalmology. The search encompassed the MEDLINE database via PubMed, without imposing any time restrictions. A total of 20 relevant studies that met our inclusion criteria were incorporated and categorized into the following domains: diagnosis, examination, treatment, and rehabilitation use of virtual reality devices within the realm of pediatric ophthalmology. Strabismus examinations and postoperative monitoring, inherited retinal degeneration examination and visual function testing, therapy of amblyopia, glaucoma visual field testing, cerebral visual impairment rehabilitation, and neuro-ophthalmic disease examination were included in the final analysis. Pediatric ophthalmology offers a promising landscape for the integration of eye tracking technology within virtual reality, with accelerated, quantifiable, and objective examination and diagnosis, and precise, real-time measurements that are crucial in children. Virtual reality is an engaging experience, easily applied in a pediatric setting and facilitating compliance during examination and adherence to therapy. Although our systematic review provides insights into the current state of research, it is anticipated that further exploration is required for the widespread utilization of eye tracking in virtual reality within pediatric ophthalmology. [ J Pediatr Ophthalmol Strabismus . 2024;61(6):381-390.] .

Purpose of Review: To review the pathophysiology, recent biomarkers related to the ocular aspects of Steven-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN), and to highlight notable evidence published in recent years., Recent Findings: Several studies reveal the relationship between tear cytokines and the pathological components in eyes of SJS/TEN patients. Specific clinical features and associated risk factors in the acute stage have shown significant correlations with chronic ocular sequelae. Recent treatment protocols, including early pulse systemic and topical steroids, as well as tumor necrosis factor-α inhibitors, have demonstrated positive effects on ocular outcomes. In addition to conventional surgical treatment, a new surgical technique, simple oral mucosal epithelial transplantation (SOMET), has been introduced as a simple ocular surface reconstruction for patient with SJS., Summary: Advancements in knowledge and management strategies have notably enhanced ocular outcomes for SJS/TEN eyes. A deeper understanding of the biomarker changes in these eyes could facilitate the development of future targeted treatment options., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Clinical Relevance: In conjunction with local optometry services, telehealth may be used in to provide specialist care for patients living in rural areas underserved by ophthalmology., Background: To combat travel restrictions for specialist outreach to regional areas during the 2020 COVID-19 lockdown, Lions Outback Vision introduced three different modalities of teleophthalmology consultations; home-based telephone, hospital-based video, and optometry-based video. This study evaluated the utility of these in providing specialist care to rural patients during the pandemic., Methods: Data from patients referred during the COVID-19 lock-down period (23 March 2020 to 5 June 2020) were analysed. If sufficient clinical information and imaging were available then ophthalmologists conducted home-based telephone consultations. If further ocular imaging or examination was required, then optometry-based video or hospital-based video were used. Data were analysed using ANOVA and two-sided t tests for continuous data and Chi Square statistics for categorical data ( p  < 0.05)., Results: Majority of the 431 consultations were conducted via home telephone (38%) or optometry-based video (37%). Indigenous patients ( p  = 0.014) and patients in very remote communities ( p  < 0.01) were more likely to receive a home-based telephone consultation. Because sufficient clinical information had already been obtained for home-based consultations, these patients were more likely to be booked for surgery than optometry ( p  < 0.01).Cataracts were the predominant diagnosis in optometry consults compared to hospital ( p  < 0.01)., Conclusion: Primary optometry and home telephone represent a new modality for providing specialist care for patients living in very remote regions and for Indigenous patients. When appropriate clinical testing has been completed, telephone-based ophthalmology may continue to be useful for certain conditions such as waitlisting patients for cataract surgery and should continue to be funded beyond the duration of the pandemic for rural patients.

Purpose: To assess associations between atrial fibrillation/atrial flutter (AF) and ocular parameters and diseases., Methods: The population-based Ural Eye and Medical Study (UEMS) and the Ural Very Old Study (UVOS) included 4894 individuals (age: 40+ years) and 835 individuals (age: 85+ years), respectively., Results: In the UEMS, AF prevalence (80/4894; 1.6%; 95% CI: 1.3, 2.0) increased from 1/1029 (0.1%) in the age group of 40 to <50 years to 29/619 (4.7%) and 12/159 (7.5%) in the age groups of 70 to <80 years and 80+ years, respectively. Higher AF prevalence correlated with older age (OR: 1.08; 95% CI: 1.04, 1.12; p < 0.001), urban region of habitation (OR: 1.08; 95% CI: 1.04, 1.12; p < 0.001), higher prevalence of cardiovascular disease/stroke (OR: 2.50; 95% CI: 1.32, 4.72; p < 0.001) and lower prevalence of neck pain (OR: 0.35; 95% CI: 0.14, 0.85; p = 0.02), higher serum concentration of bilirubin (OR: 1.03; 95% CI: 1.02, 1.05; p < 0.001) and lower prothrombin index (OR: 0.96; 95% CI: 0.93, 0.99; p = 0.003), higher stage of arterial hypertension (OR: 1.52; 95% CI: 1.01, 2.28; p = 0.04) and higher ankle-brachial index (OR: 22.1; 95% CI: 4.45, 1.10; p < 0.001). In that model, AF prevalence was not associated with ocular parameters such as intraocular pressure (p = 0.52), retinal nerve fibre layer thickness (p = 0.70), refractive error (p = 0.13), axial length (p = 0.14), nuclear cataract degree (p = 0.50) and prevalence (p = 0.40), cortical cataract degree (p = 0.43) and presence (p = 0.17), lens pseudoexfoliation (p = 0.58), status after cataract surgery (p = 0.38), age-related macular degeneration prevalence (p = 0.63), open-angle glaucoma presence (p = 0.90) and stage (p = 0.55), angle-closure glaucoma prevalence (p = 0.99) and stage (p = 0.99), diabetic retinopathy prevalence presence (p = 0.37) and stage (p = 0.32), and myopic macular degeneration (p = 0.98). In the UVOS, similar results were obtained., Conclusions: In these multi-ethnic populations from Russia, AF prevalence was not associated with any major ocular disease and may not play a major role in the pathogenesis of these disorders., (© 2024 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.)

Background: There is scarcity of data on the incidence and factors associated with the occurrence of ocular lesions in critically ill children., Aim: Test the applicability and utility of an ocular assessment scale and to identify risk factors of ocular lesions., Study Design: Prospective observational study. A tertiary care medical-surgical Paediatric Intensive Care Unit. 194 children without previous ocular disease who stayed in the Paediatric Intensive Care Unit for more than 48 h. An ocular lesions risk scale was designed including risk factors lagophthalmos, eye dryness, conjunctival hyperemia, slow blinking, intubation, sedation, relaxation, face mask and hemodynamic instability. Patients were classified as high-, medium-, and low-risk patients. Corneal lesions were examined by fluorescein staining according to their risk and were confirmed by an ophthalmologist., Results: 76 patients were examined with fluorescein staining. Thirty-two ocular lesions were detected by nursing staff, 26 confirmed by the ophthalmologist. 53.6% of the high-risk patients developed a corneal lesion. Univariate analysis revealed an association between ocular damage and all factors included in the scale, except for face mask. In the multivariate analysis, ocular lesions were associated with lagophthalmos, hyperemia, invasive mechanical ventilation and inotropic support., Conclusions: The scale was useful to detect corneal lesions in critically ill children. The identification of risk factors will enable the development of measures to reduce the incidence of ocular lesions., Relevance for Clinical Practice: A new, non-validated scale allowed staff to detect eye injuries, study this problem and improve future prevention., (© 2023 The Authors. Nursing in Critical Care published by John Wiley & Sons Ltd on behalf of British Association of Critical Care Nurses.)

Systemic sclerosis (SSc) is a chronic multisystemic disease characterized by immunological activation, diffuse vasculopathy, and generalized fibrosis exhibiting a variety of symptoms. A recognized precursor of SSc is Raynaud's phenomenon, which is part of the very early disease of systemic sclerosis (VEDOSS) in combination with nailfold videocapillaroscopy (NVC) impairment. The pathophysiology of ocular involvement, alterations in internal organs, and body integumentary system involvement in SSc patients are complicated and poorly understood, with multiple mechanisms presumptively working together. The most prevalent ocular symptoms of SSc are abnormalities of the eyelids and conjunctiva as well as dry eye syndrome, due to fibroblasts' dysfunction and inflammation of the ocular surface. In particular, lagophthalmos, blepharophimosis limitation of eyelid motion, eyelid telangiectasia, and rigidity or tightening of the lids may affect up to two-third of the patients. In addition, reduction in central corneal thickness, iris defects and higher rates of glaucoma were reported. In the first reports based on retinography or fluorescein angiography, about 50% of SSc patients showed signs of vascular disease: peripheral artery occlusion, thinning of retinal pigment epithelium and choroidal capillaries, ischemic areas surrounded by intraretinal extravasation and microaneurysms, and peripheral capillary non-perfusion. Successively, thanks to the advent of optical coherence tomography angiography (OCTA), several studies highlighted significant impairment of either the choriocapillaris and retinal vascular plexuses, also correlating with NVC involvement and skin disease, even in VEDOSS disease. Given the sensitivity of this technique, ocular micro-vasculopathy may act as a tool for early SSc identification and discriminate between disease stages.

Immunoglobulin-G4 related ophthalmic disease (IgG4-ROD) is an immune-mediated fibroin flammatory condition characterized by ocular mass lesions and elevated plasma IgG4 level. Since all the ocular tissues can be involved, and it can be accompanied by multiple organ and systemic diseases, the diagnosis and treatment require multidisciplinary collaboration. The Oculoplastic and Orbital Disease Group of Chinese Ophthalmological Society of Chinese Medical Association and the Chinese Rheumatology Association convened experts in ophthalmology, and rheumatology and immunology, and formulated "Expert consensus on the diagnosis and treatment of immunoglobulin-G4 related ophthalmic disease (2024 edition)" for the diagnosis and treatment of IgG4-ROD based on domestic and international studies and experience. The consensus mainly standardized the diagnostic criteria of IgG4-ROD from the aspects of ocular imaging, serum IgG4 level and ocular histopathology, and recommended the methods and indications of drug therapy (glucocorticoids, immunosuppressants and biologics) and surgical treatment.

Background/aims: Ocular manifestations of histiocytosis and their genetic underpinnings are poorly characterised. This study characterises ocular sites of histiocytosis, notate genetic alterations and correlates to histiocytosis clinical features including subtype and sites of disease., Methods: Prospective registry-based study of predominantly adult histiocytosis patients at a single-institution tertiary referral centre. 180 eyes of 90 patients (46 males, 44 females) with histiocytosis (Erdheim-Chester disease 34, Rosai-Dorfman 20, xanthogranuloma 7, mixed histiocytosis 13, Langerhans cell histiocytosis (LCH) 15, ALK-positive histiocytosis 1). Ocular findings were categorised by the structure involved. Histiocytosis subtype, sites of disease and genetic status were correlated to ocular findings., Results: Ocular disease was present in more than half the histiocytosis patient cohort and occurred with other disease sites. Ocular findings were statistically significantly different across histiocytic subtypes with LCH subtypes having the lowest proportion of ocular findings (7%) and all other subtypes having rates of ocular findings which were five times that of patients with LCH (p=0.0009). Of patients with ocular findings, 41% of patients reported ocular symptoms and were significantly more in the group with ocular disease present versus those patients without ocular involvement. The presence of ocular findings was not statistically different by BRAF V600E, MAP2K1 or RAS isoform mutational status., Conclusions: Ocular disease is a common feature of histiocytosis with significant visual symptomatology and occurrence in tandem with multisystem sites. Ocular findings vary by histiocytic subtype. The mutational profile of the cohort reflects known mutations in this clinical population, with no specific driver mutation associated with ocular disease., Competing Interests: Competing interests: JHF-none, ASR-none, JC-none, RKR-consulting fees from Incyte, Celgene/MS, Blueprint, AbbVie, Promedior, CTI, Stemline, Galecto, Pharmaessentia, Protagonist, Constellation/Morphosys, Novartis, Sierra Oncology/GSK and Servier Research funding from Constellation Pharmaceuticals, Incyte, Zentalis and Stemline Therapeutics, DHA-none, ELD-unpaid editorial support from Pfizer and serves on an advisory board for Day One Biotherapeutics, Springworks Therapeutics and Opna Bio, all outside the submitted work., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

The early prediction of ocular disease is certainly an obligatory concern in the domain of ophthalmic medicine. Although modern scientific discoveries have shown the potential to treat eye diseases by using artificial intelligence (AI) and machine learning, explainable AI remains a crucial challenge confronting this area of research. Although some traditional methods put in significant effort, they cannot accurately predict the proper ocular diseases. However, incorporating AI into diagnosing eye diseases in healthcare complicates the situation as the decision-making process of AI demonstrates complexity, which is a significant concern, especially in major sectors like ocular disease prediction. The lack of transparency in the AI models may hinder the confidence and trust of the doctors and the patients, as well as their perception of the AI and its abilities. Accordingly, explainable AI is significant in ensuring trust in the technology, enhancing clinical decision-making ability, and deploying ocular disease detection. This research proposed an efficient transfer learning model for eye disease prediction to transform smart vision potential in the healthcare sector and meet conventional approaches' challenges while integrating explainable artificial intelligence (XAI). The integration of XAI in the proposed model ensures the transparency of the decision-making process through the comprehensive provision of rationale. This proposed model provides promising results with 95.74% accuracy and explains the transformative potential of XAI in advancing ocular healthcare. This significant milestone underscores the effectiveness of the proposed model in accurately determining various types of ocular disease. It is clearly shown that the proposed model is performing better than the previously published methods.

Breakthroughs have been achieved recently in the application of artificial intelligence (AI) for the eye disease screening in Chinese primary healthcare institutions, but challenges have also emerged. First, AI software has continuously evolved, expanding the range of eye diseases that can be screened, enhancing diagnostic accuracy, and progressing towards predicting the course of eye diseases. However, inadequate infrastructure such as 5G and a shortage of specialized personnel have hindered the coverage of screenings. Second, while the cost-effectiveness of AI is well-established, new screening models have impacted the equity of screenings. It is essential to tailor AI application models to the specific context of China. Third, AI screening guidelines have been increasingly improved, providing direction for AI development and reference for the promotion and application of AI technologies. Nonetheless, high-quality empirical research is urgently needed to provide scientific evidence for policymaking related to AI in the eye disease screening. Therefore, it is suggested to develop multimodal AI models that integrate basic data such as symptoms and medical history with simple ophthalmic examinations, to accelerate the construction of infrastructure like 5G and focus on cultivating interdisciplinary talents, to explore suitable service systems and models for the large-scale eye disease screening tailored to local conditions, and to conduct long-term, multi-center, empirical studies.

The electronic medical record management system plays a crucial role in clinical practice, optimizing the recording and management of healthcare data. To enhance the functionality of the medical record management system, this paper develops a customized schema designed for ophthalmic diseases. A multi-modal knowledge graph is constructed, which is built upon expert-reviewed and de-identified real-world ophthalmology medical data. Based on this data, we propose an auxiliary diagnostic model based on a contrastive graph attention network (CGAT-ADM), which uses the patient's diagnostic results as anchor points and achieves auxiliary medical record diagnosis services through graph clustering. By implementing contrastive methods and feature fusion of node types, text, and numerical information in medical records, the CGAT-ADM model achieved an average precision of 0.8563 for the top 20 similar case retrievals, indicating high performance in identifying analogous diagnoses. Our research findings suggest that medical record management systems underpinned by multimodal knowledge graphs significantly enhance the development of AI services. These systems offer a range of benefits, from facilitating assisted diagnosis and addressing similar patient inquiries to delving into potential case connections and disease patterns. This comprehensive approach empowers healthcare professionals to garner deeper insights and make well-informed decisions., (© 2024. The Author(s).)

Background: Health literacy plays an important role in public health. Although this has been demonstrated in the field of ophthalmology, there are very few specific instruments available to assess eye health literacy. This work aims to develop an Italian questionnaire on knowledge of eye diseases (Knowledge on Eye Disease, Italian version; KED-IT) and to evaluate its reliability and reproducibility. The KED-IT focuses on diseases with high social impact, specifically glaucoma, macular degeneration, diabetic retinopathy and keratoconus, which is the main cause of corneal transplant in Italy., Methods: A cross-sectional study was conducted. The KED-IT was self-administered by the study participants twice. The interval between each administration (T0 and T1) was 5 to 8 days. Reliability was assessed using the KR-20 coefficient. The test-retest Cohen's Kappa coefficient was estimated to measure the stability and reproducibility of the results obtained between T0 and T1., Results: A total of 60 subjects participated in the study. The response rate at T1 was 92%. The KR-20 reliability coefficient of the 14-item KED-IT questionnaire was good with a value of 0.878. The Cohen's kappa value for all 14 items of the KED-IT questionnaire was k  = 0.747, indicating good agreement., Conclusions: The KED-IT is the first specific ophthalmic knowledge questionnaire validated in the Italian language and we hope that it may be a starting point for the study of eye health literacy in the Italian population., Competing Interests: The authors declare there are no competing interests., (©2024 Iannucci et al.)

Purpose: Physician-to-physician electronic consultation (eConsults) are used across specialties; however, their effectiveness in ophthalmology has not been reported. This study evaluated the feasibility and diagnostic accuracy of a physician-to-physician ophthalmology eConsult program, assessed the timeliness of in-person evaluation, and characterized the clinical questions of non-ophthalmology providers., Methods: Retrospective review of patients for whom an ophthalmology eConsult was placed to Massachusetts Eye and Ear from February 2019-August 2021. The eConsults were reviewed to identify submission-to-response time, primary diagnoses by eConsultant, and referral outcomes. The eConsults were categorized based on clinical question, urgency, and ophthalmic condition addressed. Demographic data on patients and referring providers were collected., Results: One hundred ophthalmology eConsults were placed, and 100% were responded to by an ophthalmologist. An average of 1.6 ± 1.9 days elapsed from the time of eConsult to completion. Of the 30 patients who presented for in-person evaluation at an ophthalmology clinic, diagnostic concordance between eConsultant and in-person ophthalmologist was observed in 93% of cases (n = 28 of 30). An average of 28.9 ± 27.4 days from eConsult response to in-person follow-up was observed. The most common clinical inquiries were about appropriate triage/referral (24.4%), management (22%), and diagnosis (19.7%). All eConsults were non-urgent. The most common ophthalmic condition addressed was chalazia/hordeola (14%). Only 5% of patients presented to an emergency department for the same ophthalmic concern addressed by eConsult., Conclusions: Ophthalmology eConsults provide timely access to nonurgent ocular diagnosis, triage, and management and in our study seem to provide high rates of diagnostic accuracy for nonurgent ophthalmic conditions., Translational Relevance: Using ophthalmic eConsults can facilitate timely access to specialty care and reduce patient and provider burden.

Aim: Screenings make it possible to detect anomalies that can be treated and identify patients who require referral to a specialist. The objective is to identify the different areas of research and determine the most cited publications on screening in primary care., Methods: An analysis of publications and visualization of citation networks has been carried out using the Citation Network Explorer software. The bibliographic search was carried out with the Web of Science (WOS) database using the search term: "screening AND (vision OR eye OR ocular OR visual)"., Results: We analyzed 16707 publications in all fields, 23919 citation networks have been found. The number of publications has increased, with 2021 being the year with the highest number. The majority are scientific articles and the predominant language is English. The most cited article is a global meta-analysis on the prevalence of glaucoma, showing the importance of screening for its early detection since it is essential to avoid blindness. Using the clustering function we found 8 groups with a significant number of publications where we have bibliography on certain eye diseases: glaucoma, diabetic retinopathy, pediatric amblyopia, keratoconus and dry eye., Conclusions: The main areas of study in relation to screening are the detection of diseases such as glaucoma, retinopathy of prematurity, keratoconus and dry eye. As well as the detection through visual analysis of childhood amblyopia and vision loss in elderly patients. It also gives importance to performing ocular motility tests in problems of acquired brain damage., (Copyright © 2024 Sociedad Española de Médicos de Atención Primaria (SEMERGEN). Publicado por Elsevier España, S.L.U. All rights reserved.)

Hematopoietic stem cell transplantation (HSCT) has benefited an increasing number of patients with hematological disease in the clinic. It is a curative therapy for malignant and nonmalignant hematological diseases. With the advancement and further clinical application of HSCT in recent years, the life expectancy of patients has increased, but complications have become more common. The occurrence of ocular complications is receiving increasing attention because they can seriously affect the quality of life of patients. Ocular complications require increased attention from clinicians because of their negative impact on patients and increasing incidence. Most of recent reports on posttransplant ocular complications involve ocular manifestations of graft-versus-host disease (GVHD), and a few ocular complications that do not originate from GVHD have also been reported. This review summarizes the diagnosis, scoring criteria, pathophysiology, and clinical manifestations of and common therapies for ocular graft-versus-host disease(oGVHD) after HSCT, and includes a description of some rare cases and novel therapies., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Introduction: Ophthalmology as a specialty is a pioneer in the area of telemedicine. Remote consultation represents one of the 5 types of telemedicine services, with a growing volume of activity in university hospitals. In November 2020, the ophthalmology department of Rennes University Medical Center launched its remote consultation network with the secured platform OMNIDOC. The goal of this study was to assess its contribution during its first year of use., Materials and Methods: Beginning in November 2020, ophthalmology consults at Rennes University Medical Center were directed towards the dedicated OMNIDOC network. Three-hundred and forty-one requests for remote consultation were received and analyzed between November 2020 and October 2021. We sent a satisfaction survey to both the requesting and consultant physicians to assess whether or not the network was beneficial., Results: Three-hundred and twenty-seven remote consultations requested by 126 practitioners were included in the study. The median response time was 6hours. Every field of the specialty was involved, of which 22.3% were for pediatric patients under 6years of age. Among the requests, 89.7% were regional (Brittany) and came mostly from ophthalmologists (61.77%). Nearly one out of two patients did not require an in-person consultation at Rennes University Medical Center., Discussion: The implementation of a remote consultation network allowed access to a rapid, facilitated medical ophthalmology consultation. Such a platform delivers safety and traceability of the interactions. It enhances and optimizes the patients' care pathway and encourages relationships with community physicians., (Copyright © 2024 Elsevier Masson SAS. All rights reserved.)

Importance: Underuse of eye care services leads to underdiagnosed and undertreated eye disease., Objective: To assess the reasons for underuse of eye care and whether a novel, free eye disease screening program is engaging adults who are both at high risk of eye disease and were underusing eye care services., Design, Setting, and Participants: In a population-based cross-sectional study, adult participants from the first year of the Michigan Screening and Intervention for Glaucoma and Eye Health Through Telemedicine (MI-SIGHT) Program were included. The participants were recruited from primary care clinics serving 2 low-income communities. Recruitment occurred between June 28, 2020 and June 27, 2021 at the free clinic, and between January 27, 2021 and January 26, 2022 at a federally qualified health clinic. Data were analyzed from December 7, 2022, to May 29, 2024. Participants received comprehensive eye disease screening and completed surveys assessing health and prior eye care use. Risk factors for eye disease included age 65 years and older, diabetes, personal or family history of eye disease, and self-identifying as Black or African American individuals who were aged 50 years or older. Underuse of eye care was defined as no eye examination in 2 or more years., Main Outcomes and Measures: Percentage of participants who were at high risk of eye disease and underused eye care services before accessing this program., Results: A total of 1171 MI-SIGHT participants were a mean (SD) age of 55 (14.5) years; 437 (38%) identified as male; 591 (54%) self-identified as Black or African American, 101 (10%) as Hispanic or Latino, and 371 (34%) as White; 492 (43%) had high school education or less, and 696 (70%) reported an annual household income of less than $30 000. Characteristics of participants reporting not having had an eye examination in 2 years or more included 23% (n = 151) of participants 65 years and over, 33% (n = 214) of participants who self-reported diabetes, 25% (n = 130) of participants reporting a family history of glaucoma, 3% (n = 14) of those with self-reported glaucoma; and 33% (n = 202) of Black or African-American participants aged 50 years and older. In participants who reported not having had an eye examination in 2 or more years, 21% (n = 137) screened positive for glaucoma, 20% (n = 129) for cataract, 6% (n = 38) for diabetic retinopathy, and 1% (n = 9) for age-related macular degeneration. Reported reasons for why participants had not had an eye examination included no insurance (175 of 627 [28%]), no reason to go (no problem) (135 of 627 [22%]), and cost of eye examination (101 of 627 [16%])., Conclusions and Relevance: The findings of this study suggest that placing eye disease detection programs in primary care clinics in underserved areas may improve eye disease detection and treatment, possibly mitigating needless vision loss in the US.

Purpose: We investigated personality traits and symptoms of anxiety and depression in patients with primary vitreous floaters., Methods: A U.K. sample of adult patients (> 18 years old) with vitreous floaters of a minimum of three months severe enough to seek a consultation was assessed for personality traits (The Big Five Inventory (BFI)), symptoms of depression (Patient Health Questionnaire-9), and symptoms of anxiety (Generalized Anxiety Disorder Questionnaire-7)., Results: 149 patients participated in the study. Compared to the general population, our sample had a significantly increased score in the domain of BFI-neuroticism (3.27 vs 2.97, ρ < 0.0001, d = 0.38) and reduced score in the domain of extraversion (2.97 vs 3.24, ρ < 0.0001, d = 0.33). Female patients scored significantly higher than male patients on BFI-neuroticism (ρ = 0.01), and on BFI-agreeableness (ρ = 0.01). Age was positively correlated with BFI-Conscientiousness (r = 0.19, ρ = 0.02) and with BFI-Agreeableness (r = 0.20, ρ = 0.01). 36% of our sample had moderate to severe symptoms of depression, and 43% had moderate to severe symptoms of anxiety., Conclusions: Our study highlights the underlying psychological traits of patients with severe vitreous floaters and particular mental health needs that deserve further consideration by ophthalmological and vision science clinicians., (© 2024. The Author(s).)

Objective: Our study aims to build on our understanding of COVID-19 by detailing a comprehensive look at the prevalence of different ocular manifestations related to COVID-19 infection., Design: Systematic review and meta-analysis., Methods: Eligible studies published between June 20, 2021, and May 11, 2023, were retrieved from the MEDLINE, EMBASE, and CINAHL databases as well as grey literature. Covidence was used to conduct the systematic review. Duplicate records were removed, and 2 independent reviewers screened records for relevance. After screening, a risk-of-bias assessment was carried out. Data were extracted, and a meta-analysis was performed using STATA 14.0. Fixed-effects and random-effects models were computed based on heterogeneity., Results: Our meta-analysis included 43 articles with a total of 10,572 subjects. The results showed that COVID-19 patients had a significantly higher prevalence of conjunctivitis (effect size [ES] = 0.11; 95% CI, 0.07-0.15), ptosis (ES = 0.22; 95% CI, 0.15-0.30), and ophthalmoplegia (ES = 0.40; 95% CI, 0.06-0.74). Our results also indicate that COVID-19 patients have higher prevalence of cotton wool spots (ES = 0.06; 95% CI, 0.03-0.09), retinal hemorrhages (ES = 0.12; 95% CI, 0.06-0.18), and retinal vein tortuosity (ES = 0.19; 95% CI, 0.09-0.35)., Conclusion: COVID-19 can exhibit extrapulmonary manifestations, affecting both the anterior and posterior segments of the eye. Common anterior-segment findings include conjunctivitis, whereas posterior-segment findings may include cotton wool spots, retinal hemorrhages, and retinal vein tortuosity. Improving our understanding of the ocular manifestations of COVID-19 has the potential to facilitate quicker diagnosis and subsequent treatment., (Copyright © 2023 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.)

Multimodality fusion has gained significance in medical applications, particularly in diagnosing challenging diseases like eye diseases, notably diabetic eye diseases that pose risks of vision loss and blindness. Mono-modality eye disease diagnosis proves difficult, often missing crucial disease indicators. In response, researchers advocate multimodality-based approaches to enhance diagnostics. This study is a unique exploration, evaluating three multimodality fusion strategies-early, joint, and late-in conjunction with state-of-the-art convolutional neural network models for automated eye disease binary detection across three datasets: fundus fluorescein angiography, macula, and combination of digital retinal images for vessel extraction, structured analysis of the retina, and high-resolution fundus. Findings reveal the efficacy of each fusion strategy: type 0 early fusion with DenseNet121 achieves an impressive 99.45% average accuracy. InceptionResNetV2 emerges as the top-performing joint fusion architecture with an average accuracy of 99.58%. Late fusion ResNet50V2 achieves a perfect score of 100% across all metrics, surpassing both early and joint fusion. Comparative analysis demonstrates that late fusion ResNet50V2 matches the accuracy of state-of-the-art feature-level fusion model for multiview learning. In conclusion, this study substantiates late fusion as the optimal strategy for eye disease diagnosis compared to early and joint fusion, showcasing its superiority in leveraging multimodal information., (© 2024. The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine.)

Multiple Sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system (CNS) characterized by inflammation, demyelination, and axonal damage. Early recognition and treatment are important for preventing or minimizing the long-term effects of the disease. Current gold standard modalities of diagnosis (e.g., CSF and MRI) are invasive and expensive in nature, warranting alternative methods of detection and screening. Oculomics, the interdisciplinary combination of ophthalmology, genetics, and bioinformatics to study the molecular basis of eye diseases, has seen rapid development through various technologies that detect structural, functional, and visual changes in the eye. Ophthalmic biomarkers (e.g., tear composition, retinal nerve fibre layer thickness, saccadic eye movements) are emerging as promising tools for evaluating MS progression. The eye's structural and embryological similarity to the brain makes it a potentially suitable assessment of neurological and microvascular changes in CNS. In the advent of more powerful machine learning algorithms, oculomics screening modalities such as optical coherence tomography (OCT), eye tracking, and protein analysis become more effective tools aiding in MS diagnosis. Artificial intelligence can analyse larger and more diverse data sets to potentially discover new parameters of pathology for efficiently diagnosing MS before symptom onset. While there is no known cure for MS, the integration of oculomics with current modalities of diagnosis creates a promising future for developing more sensitive, non-invasive, and cost-effective approaches to MS detection and diagnosis., (© 2024. The Author(s).)

Objective: Meningitis may lead to ophthalmic complications in pediatric populations. The visual aftermath in developed countries has been poorly studied. This study aims to highlight the potential ocular and neuro-ophthalmic sequela of meningitis in the pediatric population of a tertiary pediatric hospital., Design: A retrospective chart review of all pediatric patients, between 2006 and 2015, diagnosed with meningitis at the Montreal Children's Hospital was conducted. Study approval was obtained by the Institutional Review Board of the McGill University Health Centre and adhered to the tenets of the Declaration of Helsinki., Methods: Records of all pediatric meningitis patients were extracted and further refined by isolating all who received an ophthalmology consultation. Relevant demographic data, general medical information, ocular findings, and imaging results were extracted. The proportion of ocular abnormalities was calculated and analyzed., Results: Seventy-two of 861 meningitis patients (8.4%) received an ophthalmology consultation. Forty-six patients met the inclusion criteria, and 31 of those (67.4%) demonstrated ocular abnormalities. Children presented most frequently with abnormalities involving visual acuity (8 of 32), extraocular movements and alignment (14 of 28), optic nerve (10 of 41), pupillary reactivity (4 of 35), and periorbital/orbital cellulitis (4 of 46). Older patients were more likely to have ophthalmologic findings., Conclusion: This chart review highlights the ocular abnormalities found in children who suffer from meningitis and present to a tertiary-care centre in a high sociodemographic index country. Complications may be lasting. Treating ophthalmologists should be cognizant of potential ocular abnormalities among meningitis patients. We advocate for increased awareness of this association among health care providers., (Copyright © 2023 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.)

Background and Purpose: Optometrist-assisted and teleophthalmology-enabled referral pathway (OTRP) for community optometry referrals has the potential to improve the capacity and efficiency of eye care delivery systems through risk stratification and limiting the number of improved referrals. This study investigates the expected future costs and benefits of implementing OTRP under various possible organizational set-ups relevant to a Danish context., Methods: A decision-analytic model (decision tree) with a one-year time horizon was constructed to portray alternative future patient referral pathways for people examined in optometry stores for suspected ocular posterior segment eye disease. The main outcomes were total healthcare costs per patient, average waiting time from eye examination in store until the start of treatment or end of referral pathway, and quality-adjusted life-years (QALY) gained. The economic evaluation compares the general ophthalmologist referral pathway (GO-RP) with a potential reimbursement model for the optometrist-assisted teleophthalmology referral pathways (R-OTRP) and a procurement model for the optometrist-assisted teleophthalmology referral pathways (P-OTRP)., Results: The cost per individual with suspected ocular posterior segment eye disease was estimated to be £116 for GO-RP and £75 and £94 for P-OTRP and R-OTRP respectively. The average waiting time for diagnosis or end of referral pathway was 25 weeks for GO-RP and 5.8 and 5.7 for P-OTPR and R-OTPR respectively. QALY gain was 0.15 for P-OTRP/R-OTRP compared to 0.06 for GO-RP., Conclusion: OTRP is effective in reducing unnecessary referrals and waiting times, increasing patients' HRQoL, and decreasing the costs of diagnosing individuals with suspected ocular posterior segment eye disease., (© 2024. The Author(s).)

Pediatric rheumatological diseases present with diverse manifestations affecting various tissues and organs. Though most childhood illnesses with immune dysregulation affect multiple organs or systems simultaneously or gradually, few inflammatory conditions affect certain organs as distinguished primary targets. Pediatric inflammatory diseases of the eye, bowel, and bone represent significant disorders with heterogeneous entities with varying pathophysiological basis like chronic inflammation, vasculitis, autoimmunity, and autoinflammation. Associations or complications of these diseases may remain obscure if their extensions are not explored specifically. Pediatric uveitis, non-uveitic inflammatory diseases, inflammatory bowel diseases, and autoinflammatory bone diseases are the important constituents of this cluster. The author concisely discusses these disorders in this review from pediatric rheumatological perspective. If untreated, these diseases may be organ-threatening. Outcomes are vastly different in undiagnosed patients and in timely diagnosed and treated patients. Lack of awareness and missed exploration of associated illnesses and complications may result in a missed diagnosis or inadequate symptomatic treatment. A multidisciplinary approach to diagnosis and treatment is desirable in these heterogeneous entities. Pediatricians must be aware of the immunological origin of organ-centered symptoms and signs. A proper understanding of molecular details of etiopathogenesis and significant advances in therapy have reduced the morbidity, disability, and mortality of such disorders., (© 2023. The Author(s), under exclusive licence to Dr. K C Chaudhuri Foundation.)

Background: Immunoglobulin G4-related ophthalmic disease (IgG4-ROD) poses clinical challenges due to its heterogeneous ocular and systemic manifestations. We aim to report the systemic involvement and the clinical, serological and radiological associations of a cohort of Chinese patients., Methods: A territory-wide, biopsy-proven, Chinese cohort. A retrospective, masked chart review of medical records, orbital images, and histopathology reports., Results: A total of 122 (65 male) patients with a follow-up of 81 ± 49 (24 to 84) months were reviewed. Ninety (74%) patients presented bilaterally. Subacute upper eyelid swelling was the commonest presentation (82/122, 67%). During follow-up, 91/122 patients (75%) underwent extra-orbital imaging including computer tomography (692 films), ultrasonography (182 films), magnetic resonance imaging (76 films) and whole body FDG-PET scan (33 films). Eighty-six (95%) of these 91 patients had extra-orbital involvement radiologically (2.7 ± 1.6 regions, range: 0 to 9). Lymph node was the most prevalent ( N  = 60,66%), followed by salivary gland ( N  = 51,56%), lung ( N  = 49,54%), kidney ( N  = 22, 24%), hepatobiliary tree ( N  = 18, 20%) and pancreas ( N  = 17, 19%). Other organs include thyroid, aorta, meninges/brain and skin. Twenty-eight (23%) patients had allergic diseases (19 asthma, 16 allergic rhinitis, and 6 eczemas). Fifty-seven (48%) patients had paranasal sinusitis. Serum eosinophilia was associated with a higher number (3.24 versus 2.52, P  = 0.0304) of organ involvement. Patients with deep organ involvement was associated with a higher age of IgG4-ROD onset (70 ± 12 versus 56 ± 13, P  < 0.0001)., Conclusions: 95% of the patients who underwent systemic imaging in our cohort had systemic organ involvement. An early physicians' assessment and radiological imaging are recommended after the diagnosis of IgG4-ROD.

Purpose: Frailty and age-related eye diseases are common in older people; however, whether there is a causal link remains unknown. We aimed to explore the causal associations between the frailty index (FI) and ophthalmic traits and identify modifiable mediators., Methods: Linkage disequilibrium score regression and two-sample Mendelian randomization were applied to identify genetic correlations and causal associations between FI and ophthalmic traits. Summary data for FI was obtained from a genome-wide association study that included 175,226 individuals of European ancestry. Summary-level statistics for ophthalmic traits were obtained from relative GWASs. Summary-level data for cardiovascular risk factors, inflammatory biomarkers, and the central nervous system were used to identify the possible mediators., Results: FI had a significant genetic correlation with 10 ophthalmic traits. Per SD increment of FI, the odds ratio was 1.329 (95% CI, 1.123, 1.573; P = 9.5 × 10 -4 ) for cataracts, 1.825 (95% CI, 1.115, 2.986; P = 0.016) for keratitis, 1.798 (95% CI, 1.039, 3.11; P = 0.036) for disorders of vitreous body and 1.478 (95% CI, 1.005, 2.173; P = 0.046) for disorders of sclera, cornea, iris and ciliary body. The MR effect estimates of FI on ophthalmic traits were attenuated after adjusting for mental disorders, type 2 diabetes, triglyceride, and interleukin-8 (IL-8) levels., Conclusion: This study reports a genetic correlation and causal association between FI and ophthalmic traits, in which mental disorders, type 2 diabetes, triglycerides, and IL-8 may play a mediating role. These findings highlight a possible method to reduce the risk of FI-related ophthalmic diseases., (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)

The rapid advancements in generative artificial intelligence are set to significantly influence the medical sector, particularly ophthalmology. Generative adversarial networks and diffusion models enable the creation of synthetic images, aiding the development of deep learning models tailored for specific imaging tasks. Additionally, the advent of multimodal foundational models, capable of generating images, text and videos, presents a broad spectrum of applications within ophthalmology. These range from enhancing diagnostic accuracy to improving patient education and training healthcare professionals. Despite the promising potential, this area of technology is still in its infancy, and there are several challenges to be addressed, including data bias, safety concerns and the practical implementation of these technologies in clinical settings., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose: To evaluate the capabilities and incapabilities of a GPT-4V(ision)-based chatbot in interpreting ocular multimodal images., Methods: We developed a digital ophthalmologist app using GPT-4V and evaluated its performance with a dataset (60 images, 60 ophthalmic conditions, 6 modalities) that included slit-lamp, scanning laser ophthalmoscopy, fundus photography of the posterior pole (FPP), optical coherence tomography, fundus fluorescein angiography and ocular ultrasound images. The chatbot was tested with ten open-ended questions per image, covering examination identification, lesion detection, diagnosis and decision support. The responses were manually assessed for accuracy, usability, safety and diagnosis repeatability. Auto-evaluation was performed using sentence similarity and GPT-4-based auto-evaluation., Results: Out of 600 responses, 30.6% were accurate, 21.5% were highly usable and 55.6% were deemed as no harm. GPT-4V performed best with slit-lamp images, with 42.0%, 38.5% and 68.5% of the responses being accurate, highly usable and no harm, respectively. However, its performance was weaker in FPP images, with only 13.7%, 3.7% and 38.5% in the same categories. GPT-4V correctly identified 95.6% of the imaging modalities and showed varying accuracies in lesion identification (25.6%), diagnosis (16.1%) and decision support (24.0%). The overall repeatability of GPT-4V in diagnosing ocular images was 63.3% (38/60). The overall sentence similarity between responses generated by GPT-4V and human answers is 55.5%, with Spearman correlations of 0.569 for accuracy and 0.576 for usability., Conclusion: GPT-4V currently is not yet suitable for clinical decision-making in ophthalmology. Our study serves as a benchmark for enhancing ophthalmic multimodal models., Competing Interests: Competing interests: None of the authors has a financial or proprietary interest in any material or method mentioned., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose: Optical coherence tomography (OCT) and OCT angiography (OCTA) are widely used in the diagnosis of ophthalmic diseases. This study aims to provide a comprehensive bibliometric analysis of ophthalmologic OCT and OCT angiography., Methods: We retrieved publications on ophthalmic OCT and OCTA from 2003 to 2022 from the Web of Science Core Collection and used bibliometric tools to analyze and visualize the distribution, trend, and hotspots., Results: In total, 20,817 articles written by 48,160 authors from 106 countries were selected. The number of publications has significantly increased. In the last two decades, the USA was the most productive country and received the highest citations. The most productive journal was Investigative Ophthalmology and Visual Science and received the highest number of citations. Moorfields Eye Hospital was the most productive institution. Bandello F published the most papers, while Spaide RF was the highest cited author. SPAIDE RF, 2011, AM J Ophthalmology was the most cited document. "OCT", "glaucoma" and "OCTA" were three hotspots in the last two decades. "Vessel density" and "deep learning" would be research hotspots in the future., Conclusion: The bibliometric analysis of ophthalmic OCT and OCTA research over the past two decades on keywords, authors, citations, hotspots and trends will provide global researchers with valuable information for future research and cooperation., (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)

Purpose: Crouzon syndrome is a congenital genetic disease caused by mutations of the FGFR2 gene on chromosome 10. It is usually inherited in an autosomal dominant pattern and is one of the most common types of craniosynostosis syndromes. This article focuses on the ophthalmology-related aspects of Crouzon syndrome in order to help diagnose and develop personalized treatment plans., Methods: A combined systematic search of PubMed electronic database by using Boolean operators AND and OR was conducted, choosing the following keywords: "Crouzon", "craniosynostosis", " eye ", " oculus ", " ocular ", " ophthalmic ", " ophthalmologic ", " ophthalmology ", " globe ", " orbit ", " exophthalmos ", " exorbitism ", " keratopathy ", " visual " etc. After the initial screening of these articles, repetitive literatures were excluded., Results: 47 articles were selected. This article introduces the ocular manifestations, possible pathogenesis and treatment progress in Crouzon syndrome., Conclusions: The incidence of ocular abnormalities in Crouzon syndrome is very high, such as shallow orbits, exophthalmos, hypertelorism, exposure keratopathy, strabismus, optic neuropathy, ametropia, glaucoma, etc. The pathogenesis of these ocular abnormalities is related to orbital deformities. Most of the treatments are aimed at compensating the abnormal anatomic structure at present., (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)

The red reflex test, performed using a direct ophthalmoscope, serves as a critical diagnostic tool in identifying various ocular conditions. These conditions encompass retinal anomalies (such as retinoblastoma, Coats disease, retinopathy of prematurity, familial exudative vitreoretinopathy, myelinated nerve fibers, ocular toxocariasis, ocular toxoplasmosis, retinochoroidal coloboma, astrocytic, and combined hamartoma), vitreous abnormalities (including persistent fetal vasculature), lens issues (like cataract), anterior chamber and corneal conditions (comprising dysgenesis of the anterior segment, congenital glaucoma, birth trauma), and tear film disturbances. During this examination, the presence of leukocoria, characterized by a white pupillary reflex, can suggest the presence of underlying conditions. Any suspicion of an abnormal red reflex test warrants immediate evaluation by a qualified ophthalmologist. This article primarily underscores the paramount importance of the red reflex examination, not only to identify potential sight-threateningbut also life-threatening conditions. It delves into the most common causes of leukocoria in childhood and offers insights into a comprehensive diagnostic approach. The target audience for this article includes pediatricians, primary care clinicians, and ophthalmologists, all of whom play a pivotal role in the early detection and intervention of these critical eye disorders.

Visual floaters can significantly affect quality of vision. Although these opacities are visible on ophthalmoscopy, objectively measuring severity has been difficult. The standard approach has been to monitor individuals for complications rather than treating the floaters. With advances in surgical instrumentation and techniques, ophthalmologists have multiple options for treating visually significant floaters, most commonly pars plana vitrectomy and laser vitreolysis. This article aims to review the literature discussing methods for diagnosing and treating floaters., Competing Interests: Disclosure: No financial disclosures reported. Artificial intelligence was not used in the study, research, preparation, or writing of this manuscript., (Copyright 2024 by the Missouri State Medical Association.)

Abstract: Alzheimer's Disease (AD) is a significant challenge in neurodegenerative disorders, characterized by a gradual decline in cognitive functions. Diagnosis typically occurs at advanced stages when therapeutic options are less effective, underscoring the importance of early detection. Traditional diagnostic methods are often invasive and costly, spurring interest in more accessible and economical alternatives. The eye, as a direct link to the brain through the optic nerve, suggests that ocular changes could serve as early indicators of AD. This has led to the exploration of non-invasive ocular diagnostic tools. Technologies such as Optical Coherence Tomography (OCT), OCT Angiography (OCT-A), pupillometry, and eye-tracking, along with electrophysiological methods like Electroretinography (ERG) and Pattern Electroretinography (PEV), are being utilized to investigate potential ocular biomarkers. Further, tear fluid analysis has suggested that presence of amyloid-beta (Aβ) protein might reflect neurogenerative processes, providing a non-invasive window into disease progression. Exploring ocular changes as potential early indicators of Alzhei-mer's Disease (AD), we aimed to provide an overview of promising biomarkers for earlier diagnosis and intervention. Our review further investigates the connections between AD and other ocular degenera-tive diseases such as age-related macular degeneration (AMD) and glaucoma, uncovering shared pathogenic pathways that could offer new therapeutic targets. To establish the sensitivity and specificity of these ocular biomarkers, comprehensive studies are required. Moreover, larger, longitudinal studies are essential to confirm the effectiveness of ocular assessments in the preemptive diagnosis of Alzheimer's Disease.

Objective: To investigate which features from a patient's history are either high or low risk that could support healthcare professionals in ophthalmic emergency triage., Methods: Prospective, 12,584 visits from 11,733 adult patients attending an Accident and Emergency department at a single tertiary centre were analysed. Data were collected by ophthalmic nurses working in triage, using an online form from August 2021 to April 2022. Multivariate analysis (MVA) was conducted to identify which features from the patients' history would be associated with emergency care., Results: This study found that 45.5% (5731 patient visits (PV)) required a same day eye emergency examination (SDEE), 11.3% (1416 PV) needed urgent care, and 43.2% (5437 PV) were appropriate for elective consultations with a GP or optometrist. The MVA top ten features that were statistically significant (p < 0.05) that would warrant SDEE with odds ratio (95% CI) were: bilateral eye injury 36.5 [15.6-85.5], unilateral eye injury 25.8 [20.9-31.7], vision loss 4.8 [2.9-7.8], post-operative ophthalmic ( < 4 weeks) 4.6 [3.8-5.7], contact lens wearer 3.9 [3.3-4.7], history of uveitis 3.9 [3.3-4.7], photophobia 2.9 [2.4-3.6], unilateral dark shadow/curtain in vision 2.4 [1.8-3.0], unilateral injected red eye 2.0 [1.8-2.2] and rapid change in visual acuity 1.8 [1.5-2.2]., Conclusion: This study characterises presenting features covering almost 100 ophthalmic acute presentations that are commonly seen in emergency and elective care. This information could supplement current red flag indicators and support healthcare professionals in ophthalmic triage. Further research is required to evaluate the cost effectivity and safety of our findings for triaging acute presentations., (© 2024. The Author(s), under exclusive licence to The Royal College of Ophthalmologists.)

Background: Neuro-ophthalmology frequently requires a complex and multi-faceted clinical assessment supported by sophisticated imaging techniques in order to assess disease status. The current approach to diagnosis requires substantial expertise and time. The emergence of AI has brought forth innovative solutions to streamline and enhance this diagnostic process, which is especially valuable given the shortage of neuro-ophthalmologists. Machine learning algorithms, in particular, have demonstrated significant potential in interpreting imaging data, identifying subtle patterns, and aiding clinicians in making more accurate and timely diagnosis while also supplementing nonspecialist evaluations of neuro-ophthalmic disease., Evidence Acquisition: Electronic searches of published literature were conducted using PubMed and Google Scholar. A comprehensive search of the following terms was conducted within the Journal of Neuro-Ophthalmology: AI, artificial intelligence, machine learning, deep learning, natural language processing, computer vision, large language models, and generative AI., Results: This review aims to provide a comprehensive overview of the evolving landscape of AI applications in neuro-ophthalmology. It will delve into the diverse applications of AI, optical coherence tomography (OCT), and fundus photography to the development of predictive models for disease progression. Additionally, the review will explore the integration of generative AI into neuro-ophthalmic education and clinical practice., Conclusions: We review the current state of AI in neuro-ophthalmology and its potentially transformative impact. The inclusion of AI in neuro-ophthalmic practice and research not only holds promise for improving diagnostic accuracy but also opens avenues for novel therapeutic interventions. We emphasize its potential to improve access to scarce subspecialty resources while examining the current challenges associated with the integration of AI into clinical practice and research., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 by North American Neuro-Ophthalmology Society.)

Competing Interests: The authors report no conflicts of interest.