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Assessment of a Large Language Model’s Responses to Questions and Cases About Glaucoma and Retina Management
110
Zitationen
5
Autoren
2024
Jahr
Abstract
This study accentuates the comparative proficiency of LLM chatbots in diagnostic accuracy and completeness compared with fellowship-trained ophthalmologists in various clinical scenarios. The LLM chatbot outperformed glaucoma specialists and matched retina specialists in diagnostic and treatment accuracy, substantiating its role as a promising diagnostic adjunct in ophthalmology.
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