Evaluating the competence of large language models in ophthalmology clinical practice: a multi-scenario quantitative study

This study innovatively evaluates LLMs in ophthalmic practice. Gemini 1.5 Flash excels in generating accurate clinical content and engaging with patients, whereas Claude 3 Opus demonstrates exceptional clinical reasoning and readability of text. Findings validate LLMs' clinical potential while providing evidence-based selection criteria for ophthalmic AI applications. The results establish practical foundations for optimizing ophthalmic AI model development and systematically constructing intelligent ophthalmic hospital systems.