Evaluating Three Large Language Models in Ophthalmology Education: A Comparative Study of Accuracy and Readability Across 442 Questions

Key Points

• The study aims to evaluate the performance of large language models in answering ophthalmology questions in medical education.
• Comparative analysis of three large language models
• Evaluation based on accuracy and readability of answers
• Assessment of responses to 442 ophthalmology questions
• Microsoft Copilot outperformed other models in accuracy
• Microsoft Copilot also excelled in readability
• Model choice significantly affects the utility of AI in educational contexts