116 results on '"Ting, Daniel S.W."'
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2. Replacing the postoperative week 1 visit after routine phacoemulsification with a telephone consult
3. Diagnostic performance of deep learning for infectious keratitis: a systematic review and meta-analysis
4. Cross-modality Labeling Enables Noninvasive Capillary Quantification as a Sensitive Biomarker for Assessing Cardiovascular Risk
5. ChatGPT enters the room: what it means for patient counseling, physician education, academics, and disease management
6. Applications of Artificial Intelligence and Deep Learning in Glaucoma
7. Developments in Artificial Intelligence for Ophthalmology: Federated Learning
8. Is Central Retina Thickness the Most Relevant Parameter in the Management of Diabetic Macular Edema?
9. Artificial intelligence enabled smart digital eye wearables
10. Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus
11. The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus
12. Digital Education in Ophthalmology
13. A look at the emerging trends of large language models in ophthalmology.
14. Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities
15. Digital Gonioscopy Based on Three-dimensional Anterior-Segment OCT: An International Multicenter Study
16. Artificial Intelligence in Cornea, Refractive Surgery, and Cataract: Basic Principles, Clinical Applications, and Future Directions
17. Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
18. Evolving Practice Patterns in Singapore's Public Sector Ophthalmology Centers During the COVID-19 Pandemic
19. COVID-19: Ocular Manifestations and the APAO Prevention Guidelines for Ophthalmic Practices
20. Real-World Treatment Outcomes of Age-Related Macular Degeneration and Polypoidal Choroidal Vasculopathy in Asians
21. Digital Education in Ophthalmology
22. Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology
23. Deep learning in ophthalmology: The technical and clinical considerations
24. Artificial Intelligence, Digital Imaging, and Robotics Technologies for Surgical Vitreoretinal Diseases
25. Treatment Options for Diabetic Macular Edema
26. Artificial intelligence for diabetic retinopathy screening, prediction and management
27. Interpretation of artificial intelligence studies for the ophthalmologist
28. Ocular Imaging Standardization for Artificial Intelligence Applications in Ophthalmology: the Joint Position Statement and Recommendations From the Asia-Pacific Academy of Ophthalmology and the Asia-Pacific Ocular Imaging Society
29. Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology
30. Novel Retinal Imaging in Assessment of Cardiovascular Risk Factors and Systemic Vascular Diseases
31. The promise of digital healthcare technologies
32. 119 - Epiretinal membranes, vitreoretinal traction, cystoid macular edema, and submacular hemorrhage
33. Emerging Ethical Considerations for the Use of Artificial Intelligence in Ophthalmology
34. Retinal Video Recording: A New Way to Image and Diagnose Diabetic Retinopathy
35. Visual Neglect Following Stroke: Current Concepts and Future Focus
36. Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI (Nature Medicine, (2022), 28, 5, (924-933), 10.1038/s41591-022-01772-9)
37. A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis
38. Blockchain Technology for Ophthalmology: Coming of Age?
39. Augmented Intelligence in Ophthalmology: The Six Rights
40. Reporting Guidelines for Artificial Intelligence in Medical Research
41. SARS-CoV-2 and the Eye: Implications for the Retina Specialist From Human Coronavirus Outbreaks and Animal Models
42. Preparedness among Ophthalmologists: During and Beyond the COVID-19 Pandemic
43. Automated and Computer-Assisted Detection, Classification, and Diagnosis of Diabetic Retinopathy
44. Contributors
45. Artificial Intelligence and Radiology: Collaboration Is Key
46. The next generation of healthcare ecosystem in the metaverse.
47. An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence
48. Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study
49. Novel technique of dog tick removal from the eyelid
50. Retinal Video Recording
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