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2. Integrated image-based deep learning and language models for primary diabetes care

6. List of contributors

8. International Classification System for Ocular Complications of Anti-VEGF Agents in Clinical Trials

9. Faricimab Treat-and-Extend for Diabetic Macular Edema: Two-Year Results from the Randomized Phase 3 YOSEMITE and RHINE Trials

14. Predicting Risk of Developing Diabetic Retinopathy using Deep Learning

15. Scientific Discovery by Generating Counterfactuals using Image Translation

19. Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

22. Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus

23. The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus

27. Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study

33. Efficacy, durability, and safety of intravitreal faricimab with extended dosing up to every 16 weeks in patients with diabetic macular oedema (YOSEMITE and RHINE): two randomised, double-masked, phase 3 trials

34. Evolving treatment paradigms for PCV

38. Update on central retinal artery occlusion.

39. Prevalence and Pattern of Geographic Atrophy in Asia: The Asian Eye Epidemiology Consortium

41. Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study

42. Large language models and their impact in ophthalmology

43. Faricimab Treat-and-Extend for Diabetic Macular Edema

45. Argon Laser Therapy

50. Patient, family member, and health care provider perspective on barriers and facilitators to diabetic retinopathy screening in Thailand: A qualitative study

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