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AI-Assisted Systemic Health Risk Assessment in General Ophthalmology
Sponsor: Zhongshan Ophthalmic Center, Sun Yat-sen University
Summary
This study will evaluate whether providing ophthalmologists with additional artificial intelligence (AI)-assisted health risk information derived from routine retinal images affects subsequent clinical care in adults attending general ophthalmology clinics. Participating ophthalmologists will be assigned to either usual ophthalmic care or usual ophthalmic care with access to supplementary information generated by an AI system. The AI system does not independently diagnose disease or determine treatment. All clinical decisions remain the responsibility of the ophthalmologist. Participants will receive routine ophthalmic care and will be followed after the ophthalmology visit to collect information on subsequent medical evaluation, newly identified systemic conditions, and changes in clinical management.
Official title: Clinical Effectiveness of AI-Assisted Systemic Health Risk Assessment in General Ophthalmology: A Multicenter Pragmatic Clinician-Cluster Randomized Controlled Trial
Key Details
Gender
All
Age Range
40 Years - Any
Study Type
INTERVENTIONAL
Enrollment
2000
Start Date
2026-10-19
Completion Date
2027-02-28
Last Updated
2026-10-28
Healthy Volunteers
Yes
Conditions
Interventions
AI-Assisted Health Risk Information
An artificial intelligence system analyzes routinely acquired ophthalmic images and provides supplementary information on possible systemic health risks to the ophthalmologist. The information may be considered together with other clinical information when making decisions about further medical evaluation.
Locations (1)
Zhongshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, China