A Multimodal AI Agent for Ophthalmic Clinical Decision Support

This multicenter, randomized controlled trial aims to evaluate the integration of EyeAgent, a multimodal artificial intelligence (AI) agent, in real-world clinical settings. The AI system is designed to support clinicians by analyzing patient data, including ocular images and electronic health records, to aid in image interpretation, diagnosis, and treatment planning. A total of 300 participants will be randomly assigned to either an AI-assisted care arm or a standard care arm. In the AI-assisted arm, clinicians review the comprehensive report generated by AI agent as a supportive tool before finalizing their independent decisions. The study comprehensively measures diagnostic accuracy, the rate of inappropriate treatment decisions, report generation, workflow efficiency, and user questionnaire. By comparing these two groups, the trial aims to provide robust evidence on the effectiveness and practical utility of AI-driven clinical decision support in ophthalmology, with the goal of enhancing both the quality and efficiency of patient care.