Diagnostic Performance of ChatGPT in Corneal Disease Recognition From Slit-Lamp Photographs

In this study, ChatGPT-4o demonstrated moderate diagnostic accuracy in identifying corneal pathology from slit-lamp photographs, with performance comparable to that of consultant ophthalmologists. These findings highlight the potential feasibility of using LLMs as adjunctive tools in ophthalmic image interpretation. Limitations include the AI model's tendency to produce confident yet occasionally inaccurate responses. While not yet suitable for autonomous diagnostic use, ChatGPT-4o shows promise as a supportive aid in clinical decision-making when used under appropriate expert supervision.