3: AI in Eye Care: From Diabetic Retinopathy to the Clinic of the Future (ft. Michael Twa, OD, PhD)
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3: AI in Eye Care: From Diabetic Retinopathy to the Clinic of the Future (ft. Michael Twa, OD, PhD)
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In Episode 3 of From Paper to Clinic, “AI in Eye Care: From Diabetic Retinopathy to the Clinic of the Future,” Michael Twa, OD, PhD, joins the show to discuss artificial intelligence (AI). In the conversation, the pair discusses how AI is reshaping eye care, beginning with its success in retinal image analysis for diabetic retinopathy and expanding to more complex conditions like AMD, where challenges in sensitivity, specificity, and nuanced image interpretation become more pronounced.
They also discuss how AI can primarily serve as a decision-support tool rather than a standalone diagnostician, emphasizing the inevitability of false positives and negatives and the importance of clinician oversight, as well as the rise of chatbots and agentic AI, from tools handling routine post–cataract surgery follow-ups to future systems that could coordinate appointments, labs, referrals, and population-level outcome analysis via EHR-integrated AI.
The paper inspiring this discussion is "A Review of Recent Developments in Artificial Intelligence and Big Data Technologies for Ophthalmology Referrals and Clinical Practice" by Paredes et al, published in Medical Science Monitor.