AI technology is rapidly transforming ophthalmology by enhancing diagnostics, intraocular lens (IOL) calculations, and surgical skill assessments, particularly in cataract surgery. These advancements improve clinical workflows and patient care.
- AI significantly improves cataract surgery outcomes through enhanced diagnosis, IOL calculations, and surgical skill assessment, optimizing clinical workflows and patient care.
- Autonomous AI systems for diabetic retinopathy, like LumineticsCore, demonstrate high diagnostic accuracy, enabling specialty-level diagnostics in primary care settings.
- Geographic disparities and nondiagnostic results challenge AI adoption, necessitating strategies for equitable access and improved image quality in diabetic eye disease management.
- Physicians are pivotal in refining AI technologies, ensuring they are accurate, equitable, and beneficial for diverse patient populations, driving future AI advancements in ophthalmology.