Comment on: Evaluating large language models vs residents in cataract and refractive surgery: comparative analysis using the American Academy of Ophthalmology Self-Assessment Program

The authors aim to evaluate the performance of large language models (LLMs) in cataract and refractive surgery and propose a responsible validation system for their clinical integration. They highlight significant shortcomings in LLMs regarding clinical reliability and safety, suggesting a three-layer validation framework to ensure effective and equitable use of AI in these surgical fields. The study emphasizes the need for a shift towards responsible clinical applications of AI technologies.