From the USA: AI Outperforms Glaucoma, Retina Specialists for Diagnostic Accuracy

A large language model (LLM) chatbot outperforms glaucoma and retina specialists for diagnostic accuracy, according to a study published online Feb. 22 in JAMA Ophthalmology.

Andy S. Huang, M.D., from the Icahn School of Medicine at Mount Sinai in New York City, and colleagues conducted a comparative cross-sectional study recruiting 15 participants aged 31 to 67 years, including 12 attending physicians and three senior trainees, to compare the diagnostic accuracy and comprehensiveness of responses from an LLM chatbot with those of fellowship-trained glaucoma and retina specialists. Responses were assessed via a Likert scale for glaucoma and retina questions (10 of each type) in deidentified glaucoma and retina cases (10 of each type).

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