NCT07401459

A Multimodal AI Agent for Ophthalmic Clinical Decision Support

Multicenter Randomized Controlled Trial of a Multimodal AI Agent for Ophthalmology Clinical Decision Support

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 300 (estimated)
• Sponsor: The Hong Kong Polytechnic University · Academic / Other
• Sex: All
• Age: 6 Years – 75 Years
• Healthy volunteers: Accepted

Summary

This study is a multicenter randomized controlled trial evaluating the effectiveness and safety of EyeAgent, a multimodal artificial intelligence (AI) agent designed to assist ophthalmologists in clinical decision-making. Participants will be recruited from ophthalmology clinics and hospitals in Hong Kong and mainland China. The AI agent acts as a digital co-pilot, analyzing patient images and clinical history to provide diagnostic and management recommendations. The trial aims to determine whether the use of the AI agent improves diagnostic accuracy, treatment decision-making performance, report generation, workflow efficiency, and user satisfaction compared to standard clinical practice.

Detailed description

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.

Conditions

• Ophthalmology
• Large Language Models
• AI Agent
• Eye Disease
• Retinal Disease

Interventions

Type	Name	Description
DEVICE	EyeAgent AI system	EyeAgent is a multimodal AI agent assistant for ophthalmology that integrates imaging, electronic health records, and curated clinical knowledge. In this arm, EyeAgent supports clinicians in clinical consultation, including report generation, diagnostic interpretation, and treatment planning.

Timeline

• Start date: 2026-03-01
• Primary completion: 2026-10-31
• Completion: 2026-12-31
• First posted: 2026-02-10
• Last updated: 2026-02-23

Locations

1 site across 1 country: China