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A Multimodal AI Agent for Ophthalmic Clinical Decision Support

NCT07401459 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 300

Last updated 2026-02-23

No results posted yet for this study

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.

Conditions

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

Interventions

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.

Sponsors & Collaborators

  • The Hong Kong Polytechnic University

    lead OTHER

Principal Investigators

  • Mingguang He · The Hong Kong Polytechnic University

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
6 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-03-01
Primary Completion
2026-10-31
Completion
2026-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07401459 on ClinicalTrials.gov