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Purpose: This cross-sectional study assessed a generative artificial intelligence platform to automate the creation of accurate, appropriate, and compelling social media (SoMe) posts from urological journal articles., Materials and Methods: One hundred SoMe posts from the top 3 journals in urology X (formerly Twitter) profiles were collected from August 2022 to October 2023. A freeware generative pre-trained transformer (GPT) tool was developed to autogenerate SoMe posts, which included title summarization, key findings, pertinent emojis, hashtags, and digital object identifier links to the article. Three physicians independently evaluated GPT-generated posts for achieving tetrafecta of accuracy and appropriateness criteria. Fifteen scenarios were created from 5 randomly selected posts from each journal. Each scenario contained both the original and the GPT-generated post for the same article. Five questions were formulated to investigate the posts' likability, shareability, engagement, understandability, and comprehensiveness. The paired posts were then randomized and presented to blinded academic authors and general public through Amazon Mechanical Turk (AMT) responders for preference evaluation., Results: Median time for post autogeneration was 10.2 seconds (interquartile range 8.5-12.5). Of the 150 rated GPT-generated posts, 115 (76.6%) met the correctness tetrafecta: 144 (96%) accurately summarized the title, 147 (98%) accurately presented the articles' main findings, 131 (87.3%) appropriately used emojis, and 138 (92%) appropriately used hashtags. A total of 258 academic urologists and 493 AMT responders answered the surveys, wherein the GPT-generated posts consistently outperformed the original journals' posts for both academicians and AMT responders ( P < .05)., Conclusions: Generative artificial intelligence can automate the creation of SoMe posts from urology journal abstracts that are both accurate and preferable by the academic community and general public.

Background: Since its release in November 2022, ChatGPT has captivated society and shown potential for various aspects of health care., Objective: To investigate potential use of ChatGPT, a large language model (LLM), in urology by gathering opinions from urologists worldwide., Design, Setting, and Participants: An open web-based survey was distributed via social media and e-mail chains to urologists between April 20, 2023 and May 5, 2023. Participants were asked to answer questions related to their knowledge and experience with artificial intelligence, as well as their opinions of potential use of ChatGPT/LLMs in research and clinical practice., Outcome Measurements and Statistical Analysis: Data are reported as the mean and standard deviation for continuous variables, and the frequency and percentage for categorical variables. Charts and tables are used as appropriate, with descriptions of the chart types and the measures used. The data are reported in accordance with the Checklist for Reporting Results of Internet E-Surveys (CHERRIES)., Results and Limitations: A total of 456 individuals completed the survey (64% completion rate). Nearly half (47.7%) reported that they use ChatGPT/LLMs in their academic practice, with fewer using the technology in clinical practice (19.8%). More than half (62.2%) believe there are potential ethical concerns when using ChatGPT for scientific or academic writing, and 53% reported that they have experienced limitations when using ChatGPT in academic practice., Conclusions: Urologists recognise the potential of ChatGPT/LLMs in research but have concerns regarding ethics and patient acceptance. There is a desire for regulations and guidelines to ensure appropriate use. In addition, measures should be taken to establish rules and guidelines to maximise safety and efficiency when using this novel technology., Patient Summary: A survey asked 456 urologists from around the world about using an artificial intelligence tool called ChatGPT in their work. Almost half of them use ChatGPT for research, but not many use it for patients care. The resonders think ChatGPT could be helpful, but they worry about problems like ethics and want rules to make sure it's used safely., (Copyright © 2023 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Background: While female urologists are known to publish at less frequency than their male peers, The Journal of Sexual Medicine was reported to have among the highest growth in female authorship from 2002 to 2020 in urology journals., Aim: We sought to assess the frequency of female authorship in sexual medicine journals worldwide and the factors that affect this, including the blinded/unblinded review process., Methods: Eleven sexual medicine journals were assessed for geographic location, peer review method, and SCImago Journal Rank citation index (a metric of citation frequency and prestige). Journals were grouped into top, middle, and bottom quartiles based on metric score. Web of Science was used to access the publications' first, second, last, and corresponding authors from the past 5 years. An internet search or Gender-API.com was used to determine the gender identities of authors. Univariate and multivariable logistic regression models were performed., Outcomes: Outcomes included the likelihood of female authorship (first, second, last, and corresponding) based on journal location and ranking, the clustering of female authors, the journal's peer review process, and the frequency of female editorial board members., Results: Overall, 8938 publications were identified. Women represented 30.7%, 31.3%, 21.3%, and 18.7% of the first, second, last, and corresponding authors, respectively; gender was unable to be assessed for 2.6%, 17.2%, 7.3%, and 2.7%. On univariate analysis, journals from North America, in the top quartile, and with a double-blind review process were more likely to have female authors (P < .001). On multivariate analysis, articles were more likely to have a female first author if they had a double-blind peer review process (odds ratio [OR], 1.20; 95% CI, 1.02-1.40), a female second author (OR, 2.54; 95% CI, 2.26-2.85), or a female corresponding author (OR, 7.80; 95% CI, 6.69-9.10)., Clinical Implications: Gender-concordant mentoring and universal double-blind manuscript review processes may minimize the impact of gender bias and increase female authorship rates, in turn producing more diverse research., Strengths and Limitations: This is the first study assessing female authorship in sexual medicine journals. Limitations include not assessing every author listed on articles and being unable to determine gender identities for some authors., Conclusion: Female authorship rates are higher than reported rates of practicing female urologists but still lower than their male peers. Female authors were more likely to be published in journals with double-blind peer review processes and when publishing with additional female authors., (© The Author(s) 2023. Published by Oxford University Press on behalf of The International Society of Sexual Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

The use of artificial intelligence (AI) in medicine and in urology specifically has increased over the past few years, during which time it has enabled optimization of patient workflow, increased diagnostic accuracy and enhanced computer analysis of radiological and pathological images. However, before further use of AI is undertaken, possible ethical issues need to be evaluated to improve understanding of this technology and to protect patients and providers. Possible ethical issues that require consideration when applying AI in clinical practice include patient safety, cybersecurity, transparency and interpretability of the data, inclusivity and equity, fostering responsibility and accountability, and the preservation of providers' decision-making and autonomy. Ethical principles for the application of AI to health care and in urology are proposed to guide urologists, patients and regulators to improve use of AI technologies and guide policy-making., (© 2023. Springer Nature Limited.)

We evaluated the comprehensibility of patient summaries provided by urology journals for the general public. The WebFX online tool was used to assess the readability of abstracts and patient summaries by scoring the text according to established readability indices. A total of 266 articles were included and statistical analysis was performed to compare the readability of abstracts and patient summaries, stratified by article type and text type. The results show that patient summaries consistently performed worse than abstracts for all readability metrics, and the readability levels for both abstracts and patient summaries were more advanced than the recommended guidelines on average. This study suggests that patient summaries provided by these urology journals may not be easily understood by the general population, and tools should be developed to help urological researchers improve the accessibility of their work. PATIENT SUMMARY: We checked how easy it is to read and understand patient summaries and abstracts of research articles from four urology journals. We found that the summaries and abstracts were too hard to read. This study shows that we need to make these summaries easier to read for everyone., (Copyright © 2023 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Purpose: The Internet is a ubiquitous source of medical information, and natural language processors are gaining popularity as alternatives to traditional search engines. However, suitability of their generated content for patients is not well understood. We aimed to evaluate the appropriateness and readability of natural language processor-generated responses to urology-related medical inquiries., Materials and Methods: Eighteen patient questions were developed based on Google Trends and were used as inputs in ChatGPT. Three categories were assessed: oncologic, benign, and emergency. Questions in each category were either treatment or sign/symptom-related questions. Three native English-speaking Board-Certified urologists independently assessed appropriateness of ChatGPT outputs for patient counseling using accuracy, comprehensiveness, and clarity as proxies for appropriateness. Readability was assessed using the Flesch Reading Ease and Flesh-Kincaid Reading Grade Level formulas. Additional measures were created based on validated tools and assessed by 3 independent reviewers., Results: Fourteen of 18 (77.8%) responses were deemed appropriate, with clarity having the most 4 and 5 scores ( P = .01). There was no significant difference in appropriateness of the responses between treatments and symptoms or between different categories of conditions. The most common reason from urologists for low scores was responses lacking information-sometimes vital information. The mean (SD) Flesch Reading Ease score was 35.5 (SD=10.2) and the mean Flesh-Kincaid Reading Grade Level score was 13.5 (1.74). Additional quality assessment scores showed no significant differences between different categories of conditions., Conclusions: Despite impressive capabilities, natural language processors have limitations as sources of medical information. Refinement is crucial before adoption for this purpose.

Introduction: This study assessed ChatGPT's ability to generate readable, accurate, and clear layperson summaries of urological studies, and compared the performance of ChatGPT-generated summaries with original abstracts and author-written patient summaries to determine its effectiveness as a potential solution for creating accessible medical literature for the public., Methods: Articles from the top 5 ranked urology journals were selected. A ChatGPT prompt was developed following guidelines to maximize readability, accuracy, and clarity, minimizing variability. Readability scores and grade-level indicators were calculated for the ChatGPT summaries, original abstracts, and patient summaries. Two MD physicians independently rated the accuracy and clarity of the ChatGPT-generated layperson summaries. Statistical analyses were conducted to compare readability scores. Cohen's κ coefficient was used to assess interrater reliability for correctness and clarity evaluations., Results: A total of 256 journal articles were included. The ChatGPT-generated summaries were created with an average time of 17.5 (SD 15.0) seconds. The readability scores of the ChatGPT-generated summaries were significantly better than the original abstracts, with Global Readability Score 54.8 (12.3) vs 29.8 (18.5), Flesch Kincade Reading Ease 54.8 (12.3) vs 29.8 (18.5), Flesch Kincaid Grade Level 10.4 (2.2) vs 13.5 (4.0), Gunning Fog Score 12.9 (2.6) vs 16.6 (4.1), Smog Index 9.1 (2.0) vs 12.0 (3.0), Coleman Liau Index 12.9 (2.1) vs 14.9 (3.7), and Automated Readability Index 11.1 (2.5) vs 12.0 (5.7; P < .0001 for all except Automated Readability Index, which was P = .037). The correctness rate of ChatGPT outputs was >85% across all categories assessed, with interrater agreement (Cohen's κ) between 2 independent physician reviewers ranging from 0.76-0.95., Conclusions: ChatGPT can create accurate summaries of scientific abstracts for patients, with well-crafted prompts enhancing user-friendliness. Although the summaries are satisfactory, expert verification is necessary for improved accuracy.

Objective: To present the results of a nationwide survey among urological patients to evaluate their perception of the quality of care provided by residents., Methods: An anonymous survey was distributed to patients who were referred to 22 Italian academic institutions. The survey aimed to investigate the professional figure of the urology resident as perceived by the patient., Results: A total of 2587 patients were enrolled in this study. In all, 51.6% of patients were able to correctly identify a urology resident; however, almost 40% of respondents discriminated residents from fully trained urologists based exclusively on their young age. Overall, 98.2% patients rated the service provided by the resident as at least sufficient. Urology trainees were considered by more than 50% of the patients interviewed to have good communication skills, expertise and willingness. Overall, patients showed an excellent willingness to be managed by urology residents. The percentage of patients not available for this purpose showed an increasing trend that directly correlated with the difficulty of the procedure. Approximately 5-10% of patients were not willing to be managed by residents for simple procedures such as clinical visits, cystoscopy or sonography, and up to a third of patients were not prepared to undergo any surgical procedure performed by residents during steps in major surgery, even if the residents were adequately tutored., Conclusions: Our data showed that patients have a good willingness to be managed by residents during their training, especially for medium- to low-difficulty procedures. Furthermore, the majority of patients interviewed rated the residents' care delivery as sufficient. Urology trainees were considered to have good communication skills, expertise and willingness., (© 2022 The Authors. BJU International published by John Wiley & Sons Ltd on behalf of BJU International.)

Introduction: Augmented reality (AR) applied to surgical procedures refers to the superimposition of preoperative or intraoperative images into the operative field. Augmented reality has been increasingly used in myriad surgical specialties including urology. The following study reviews advance in the use of AR for improvements in urologic outcomes., Evidence Acquisition: We identified all descriptive, validity, prospective randomized/nonrandomized trials and retrospective comparative/noncomparative studies about the use of AR in urology until March 2021. The Medline, Scopus, and Web of Science databases were used for literature search. We conducted the study selection according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis Statement) Guidelines. We limited included studies to only those using AR, excluding all that used virtual reality technology., Evidence Synthesis: A total of 60 studies were identified and included in the present analysis. Overall, 19 studies were descriptive/validity/phantom studies for specific AR methodologies, 4 studies were case reports, and 37 studies included clinical prospective/retrospective comparative studies., Conclusions: Advances in AR have led to increasing registration accuracy as well as increased ability to identify anatomic landmarks and improve outcomes during urologic procedures such as RARP and robot-assisted partial nephrectomy.

Context: Live surgical broadcast (LSB), also known as live surgery, has become a popular format for many types of surgical education meetings. However, concerns have been raised in relation to patient safety, ethical issues, and the actual educational value of LSB., Objective: To summarize current evidence on LSB with a focus on the risks of complications and the educational impact., Evidence Acquisition: We performed a systematic review of the literature according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to identify studies up to December 2020. We identified original articles reporting on patient outcomes, educational value, current use, and development of LSB. We also interrogated surgical society guidelines for position statements on LSB., Evidence Synthesis: Our literature search identified 46 studies spanning six surgical specialties, with urology being the most frequent. Approximately half of the studies reported on outcomes of surgical procedures during LSB. In urology, the few comparative studies available did not suggest higher complication rates in LSB, whereas data for other surgical fields highlighted evidence of worse outcomes. Four studies assessed the educational value of LSB via survey administration, for which the evidence is limited and of low quality. Thirteen guidelines and position statements on live surgery were identified among major surgical societies, including the European Association of Urology (EAU). Some surgical societies have expressly prohibited the use of LSB at their major meetings. The perspective of surgeons performing and/or attending live surgical sessions was evaluated in six studies, and four studies looked at urologists' perception of LSB compared to semi-LSB. Limitations of this systematic review include the limited number of studies available, the low quality of the evidence, and data heterogeneity., Conclusions: Evidence regarding outcomes of LSB is limited. Almost all the studies do not show a higher risk of complications or worse outcomes for patients undergoing a procedure during LSB. Only one study on gastrointestinal surgery reported that LSB outcomes were worse. Ongoing concerns have led to specific guidelines by several scientific societies, including the EAU, with the ultimate aim of minimizing surgical risks and maximizing patient safety., Patient Summary: Live surgery events are often part of surgical conferences. Data in the literature show mixed outcomes for operations performed during live surgery events, but with no increase in complication rates. Safety and ethical concerns remain. Other educational tools, such as prerecorded videos and live surgery transmission from the home institution of the operating surgeon might become preferred options in the future. This review was prospectively registered on the PROSPERO website (www.crd.york.ac.uk/PROSPERO, registration number CRD42020194023)., (Copyright © 2021 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Purpose of Review: In this narrative review, we will focus on a novel thulium fiber laser's physical properties in terms of its clinical applicability., Recent Findings: TFL has successfully moved forward from the preclinical trials into clinical practice and now is being widely used in clinics around the world. The available data suggest that the device effectively operates in soft tissues - benign prostate hyperplasia (BPH) and bladder tumors, as well as in lithotripsy. Also, the first promising results were obtained from laparoscopic surgery showing its possible applicability in the management of renal cell carcinoma. The constructional changes in fiber laser's design, lead to alteration of laser-tissue interactions, which resulted in clinical advantages of the device. Yet, the exact mechanism often is considered complex for understanding. With this work, we are aiming to build a bridge between biophysics and clinical practice and give a simple explanation of how the devices is working and why the knowledge of it is important for a clinician., Summary: The more effective wavelength (closer to the water absorption peak), favorable beam profile, different modes of action allowing to decrease carbonization on one hand and retropulsion on the other, all this makes TFL an evolution in urologic surgery. Further trials investigating on the possible pros and cons of the device are awaited., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Female representation in urological meetings is important for gender equity., Objective: Our objective was to examine the prevalence of "manels" or all-male speaking panels at urological meetings., Design, Setting, and Participants: Urology meetings organized by major urological associations/societies from December 2019 to November 2020 were reviewed. Meeting information and details of the faculty were retrieved., Outcome Measurements and Statistical Analysis: Primary outcomes were: (1) the percentage of male faculty in all included sessions and (2) the overall proportion of manels. We made further comparisons between manel and multigender sessions. Male and female faculty were stratified by quartiles of publications, citations, and H-index, and their mean numbers of sessions were compared., Results and Limitations: Among 285 meeting sessions, 181 (63.5%) were manels. The mean percentage of male faculty was 86.9%. Male representation was very high in urology meetings for most disciplines and urological associations/societies, except for female urology meeting sessions and those organized by the International Continence Society. Nonmanel sessions had higher numbers of chairs/moderators (p = 0.027), speakers (p < 0.001), and faculty (p < 0.001) than manel sessions. A total of 1037 faculty members were included, and 900 of them (86.8%) were male. Male faculty had longer mean years of practice (23.8 vs 17.7 yr, p < 0.001) and was more likely to include professors (43.2% vs 17.5%, p < 0.001) than female faculty. Male faculty within the first quartile (ie, lower quartile) of publications and H-index had a significantly higher number of sessions than female faculty within the same quartile., Conclusions: Our study showed that manels are prevalent in urology meetings. There is evidence showing that males received more opportunities than females. A huge gender imbalance exists in urology meetings; urological associations and societies should actively strive for greater gender parity., Patient Summary: Women are under-represented in urology meetings. Urological associations and societies should play an active role to ensure a more balanced gender representation., (Copyright © 2021 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Purpose: To determine web-based public interest in minimally invasive surgery (MIS) specifically for urological oncological surgical procedures and how interest in robotics and laparoscopy compares over time., Materials and Methods: Worldwide search-engine trend analysis included electronic Google queries of MIS urologic options from January 2004 to August 2019, worldwide. Join-point regression was performed. Comparison of annual relative search volume (ARSV) and average annual percentage change (AAPC) were analysed to assess loss or gain of interest. Evaluations were made regarding 1) penetrance of interest for MIS in Urology; 2) how MIS urologic procedures compared over time; and 3) which were the top related queries to searches for urologic oncology procedures., Results: Increased interest was found for all of the MIS procedures evaluated. Mean ARSV for robotic approach was higher for the search term 'prostatectomy" (44.8 vs. 13.5; p < 0.001) and 'partial nephrectomy" (27.1 vs.11.5; p = 0.02). No statistical difference was found for the search terms 'cystectomy" or 'nephrectomy". The analysis of mean (∆-ARSV) of MIS procedures measured between the first and last 12 months of the study period showed an increased interest with a more pronounced ∆-ARSV for robotic procedures. The top related searches for all surgical procedures were examined showing an increasing inquisitiveness with regards of type of urological cancers, treatment options, type of surgery and prognostic outcomes., Conclusions: People are increasingly searching the web for MIS urological procedures. A growing appeal for robotics is demonstrated, especially for prostatectomy and partial nephrectomy where the robotic approach is gaining traction, suggesting a shift in mind-set amongst people seeking urological healthcare information., (© 2021 John Wiley & Sons Ltd.)

In 2012, the European Association of Urology (EAU) Ad Hoc Panel proposed a standardised methodology on reporting and grading complications after urological surgical procedures. The aim of the current study was to assess the impact of this implementation on complications reporting for patients undergoing robot-assisted radical cystectomy (RARC). A systematic review of all English-language original articles published on RARC until March 2020 was performed using PubMed, Scopus, and Web of Science databases. The study selection process followed the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) criteria. The quality of reporting and grading complication was evaluated according to the EAU recommendations. Our analysis failed to observe a statistically significant improvement in reporting outcomes after the EAU guidelines recommendations except for three of the 14 criteria proposed (ie, follow-up duration, utilisation of a severity grade system, and risk factors included in the analyses). A lower statistically significant adherence to outcome reporting in terms of inclusion of readmissions and causes (p = 0.02), was observed. PATIENT SUMMARY: In this study, we evaluated the impact of the proposed European Association of Urology (EAU) standardised reporting tool for urological complications, in patients treated with robot-assisted radical cystectomy. A low adherence to EAU guidelines recommendations for complications reporting was observed., (Copyright © 2021 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Purpose of Review: As technology advances, surgical training has evolved in parallel over the previous decade. Training is commonly seen as a way to prepare surgeons for their day-to-day work; however, more importantly, it allows for certification of skills to ensure maximum patient safety. This article reviews advances in the use of machine learning and artificial intelligence for improvements of surgical skills in urology., Recent Findings: Six studies have been published, which met the inclusion criteria. All articles assessed the application of artificial intelligence in improving surgical training. Different approaches were taken, such as using machine learning to identify and classify suturing gestures, creating automated objective evaluation reports, and determining surgical technical skill levels to predict clinical outcomes. The articles illustrated the continuously growing role of artificial intelligence to address the difficulties currently present in evaluating urological surgical skills., Summary: Artificial intelligence allows us to efficiently analyze the surmounting data related to surgical training and use it to come to conclusions that normally would require human intelligence. Although these metrics have been shown to predict surgeon expertise and surgical outcomes, evidence is still scarce regarding their ability to directly improve patient outcomes. Considering this, current active research is growing on the topic of deep learning-based computer vision to provide automated metrics needed for real-time surgeon feedback., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

In the global emergency scenario caused by COVID-19 pandemic, the Urology residents' training might be critically affected. To provide insights on this issue, a 25-item online Survey was sent to all Italian residents one month after the first case of COVID-19 in Italy, to evaluate their routine involvement in "clinical" (on-call duty, outpatient visits, diagnostic procedures) and "surgical" (endoscopic, open and minimally invasive surgery) training activities before and during the COVID-19 period. Overall, 351 of 577 (60.8%) residents completed the Survey. Before the COVID-19 pandemic, the proportion of residents routinely involved in "clinical" and "surgical" activities ranged from 79.8% to 87.2% and from 49.3% to 73.5%, respectively. In the COVID-19 period, the proportion of residents experiencing a severe reduction (>40%) or complete suppression (>80%) of training exposure ranged between 41.1% and 81.2% for "clinical" activities while between 44.2% and 62.1% for "surgical" activities. This reduction was even more pronounced for residents attending the final year of training. Our study is the first to provide real-life data on how Urology residency training can be impaired during an emergency period. To address this challenge, strategies aiming to increase the use of telemedicine, "smart learning" programs and tele-mentoring of surgical procedures, are warranted.

Introduction: Minimally invasive surgery in urology has grown considerably in application since its initial description in the early 1990s. Herein, we present the protocol for a systematic review and meta-analysis comparing open versus robotic urological oncological surgery for various clinically relevant outcomes, as well as to assess their comparative penetrance over the past 20 years (2000-2020)., Methods and Analysis: We will document the penetrance of robotic versus open surgery in the urological oncological field using a national database.Second, we will perform a systematic review and meta-analysis of all published full-text English and non-English language articles from Pubmed, Scopus and Web of Science search engines on surgical treatment of localised prostate, bladder, kidney and testis cancer published between 1st January 2000 to 10th January 2020. We will focus on the highest-volume urological oncological surgeries, namely, radical prostatectomy, radical cystectomy, partial nephrectomy, radical nephrectomy and retroperitoneal lymph node dissection. Study inclusion criteria will comprise clinical trials and prospective and retrospective studies (cohort or case-control series) comparing robotic versus open surgery. Exclusion criteria will comprise meta-analyses, multiple papers with overalapping study-periods, studies analysing national databases and case series describing only one approach (robotic or open). Risk of bias for included studies will be assessed by the appropriate Cochrane risk of bias tool. Principal outcomes assessed will include perioperative, functional, oncological survival and financial outcomes of open versus robotic uro-oncological surgery. Sensitivity analyses will be performed to correlate outcomes of interest with key baseline characteristics and surrogates of surgical expertise., Ethics and Dissemination: This comprehensive systematic review and meta-analysis will provide rigorous, consolidated information on contemporary outcomes and trends of open versus robotic urological oncological surgery based on all the available literature. These aggregate data will help physicians better advise patients seeking surgical care for urological cancers., Prospero Registration Number: CRD42017064958., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction: As we enter the era of "big data," an increasing amount of complex health-care data will become available. These data are often redundant, "noisy," and characterized by wide variability. In order to offer a precise and transversal view of a clinical scenario the artificial intelligence (AI) with machine learning (ML) algorithms and Artificial neuron networks (ANNs) process were adopted, with a promising wide diffusion in the near future. The present work aims to provide a comprehensive and critical overview of the current and potential applications of AI and ANNs in urology., Evidence Acquisition: A non-systematic review of the literature was performed by screening Medline, PubMed, the Cochrane Database, and Embase to detect pertinent studies regarding the application of AI and ANN in Urology., Evidence Synthesis: The main application of AI in urology is the field of genitourinary cancers. Focusing on prostate cancer, AI was applied for the prediction of prostate biopsy results. For bladder cancer, the prediction of recurrence-free probability and diagnostic evaluation were analysed with ML algorithms. For kidney and testis cancer, anecdotal experiences were reported for staging and prediction of diseases recurrence. More recently, AI has been applied in non-oncological diseases like stones and functional urology., Conclusions: AI technologies are growing their role in health care; but, up to now, their "real-life" implementation remains limited. However, in the near future, the potential of AI-driven era could change the clinical practice in Urology, improving overall patient outcomes.

Purpose: The coronavirus disease 2019 (COVID-19) pandemic has put a substantial burden on the Italian healthcare system, resulting in the restructuring of hospitals to care for COVID-19 patients. However, this has likely impacted access to care for patients experiencing other conditions. We aimed to quantify the impact of COVID-19 on access to care for patients with urgent/emergent urological conditions throughout Italy., Materials and Methods: A questionnaire was sent to 33 urological units in the AGILE consortium, asking clinicians to report on the number of urgent/emergent urological patients seen and/or undergoing surgery over a 3-week period during the peak of the COVID-19 outbreak and a reference week prior to the outbreak. ANOVA and linear regression models were used to quantify these changes., Results: Data from 27 urological centres in Italy showed a decrease from 956 patients/week seen just prior to the outbreak to 291 patients/week seen by the end of the study period. There was a difference in the number of patients with urgent/emergent urological disease seen within/during the different weeks (all p values < 0.05). A significant decrease in the number of patients presenting with haematuria, urinary retention, urinary tract infection, scrotal pain, renal colic, or trauma and urgent/emergent cases that required surgery was reported (all p values < 0.05)., Conclusion: In Italy, during the COVID-19 outbreak there has been a decrease in patients seeking help for urgent/emergent urological conditions. Restructuring of hospitals and clinics is mandatory to cope with the COVID-19 pandemic; however, the healthcare system should continue to provide adequate levels of care also to patients with other conditions., (© 2020 S. Karger AG, Basel.)

Context: Three-dimensional (3D) printing has profoundly impacted biomedicine. It has been used to pattern cells; replicate tissues or full organs; create surgical replicas for planning, counseling, and training; and build medical device prototypes and prosthetics, and in numerous other applications., Objective: To assess the impact of 3D printing for surgical planning, training and education, patient counseling, and costs in urology., Evidence Acquisition: A systematic literature review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement., Evidence Synthesis: After screening, 4026 publications were identified for detailed review, of which 52 were included in the present systematic review: two papers reported the use of 3D-printing modeling for adrenal cancer, two papers for urethrovesical anastomosis, 24 papers for kidney transplantation and renal cancer, 13 papers for prostate cancer, seven papers for pelvicalyceal system procedures, and three papers for ureteral stents, and three papers reported 3D-printed biological scaffold development., Conclusions: Three-dimensional printing shows revolutionary potentials for patient counseling, pre- and intraoperative surgical planning, and education in urology. Together with the "patient-tailored" presurgical planning, it puts the basis for 3D-bioprinting technology. Although costs and "production times" remain the major concerns, this kind of technology may represent a step forward to meet patients' and surgeons' expectations., Patient Summary: Three-dimensional printing has been used for several purposes to help the surgeon better understand anatomy, sharpen his/her skills, and guide the identification of lesions and their relationship with surrounding structures. It can be used for surgical planning, education, and patient counseling to improve the decision-making process., (Copyright © 2019 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Purpose: The Internet is a ubiquitous source of medical information, and natural language processors are gaining popularity as alternatives to traditional search engines. However, suitability of their generated content for patients is not well understood. We aimed to evaluate the appropriateness and readability of natural language processor-generated responses to urology-related medical inquiries. Materials and Methods: Eighteen patient questions were developed based on Google Trends and were used as inputs in ChatGPT. Three categories were assessed: oncologic, benign, and emergency. Questions in each category were either treatment or sign/symptom-related questions. Three native English-speaking Board-Certified urologists independently assessed appropriateness of ChatGPT outputs for patient counseling using accuracy, comprehensiveness, and clarity as proxies for appropriateness. Readability was assessed using the Flesch Reading Ease and Flesh-Kincaid Reading Grade Level formulas. Additional measures were created based on validated tools and assessed by 3 independent reviewers. Results: Fourteen of 18 (77.8%) responses were deemed appropriate, with clarity having the most 4 and 5 scores (P [ .01). There was no significant difference in appropriateness of the responses between treatments and symptoms or between different categories of conditions. The most common reason from urologists for low scores was responses lacking information dsometimes vital information. The mean (SD) Flesch Reading Ease score was 35.5 (SD[10.2) and the mean Flesh-Kincaid Reading Grade Level score was 13.5 (1.74). Additional quality assessment scores showed no significant differences between different categories of conditions. Conclusions: Despite impressive capabilities, natural language processors have limitations as sources of medical information. Refinement is crucial before adoption for this purpose. [ABSTRACT FROM AUTHOR]