Use of Online Large Language Model Chatbots in Cornea Clinics

Abstract

ChatGPT demonstrated superior accuracy and comprehensiveness in responding to cornea-related prompts, whereas Google Bard stood out for its readability. The study highlights the potential of LLMs in streamlining various clinical, administrative, and research tasks in ophthalmology. Future research should incorporate patient feedback and ongoing data collection to monitor LLM performance over time. Despite their promise, LLMs should be used with caution, necessitating continuous oversight by medical professionals and standardized evaluations to ensure patient safety and maximize benefits.

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