Actively Recruiting
AI-powered Portable Fundus Camera Screening for Diabetic Retinopathy in Primary Care Settings
Led by The Hong Kong Polytechnic University · Updated on 2025-03-24
500
Participants Needed
1
Research Sites
4 weeks
Total Duration
AI-Summary
What this Trial Is About
Researchers are evaluating an AI-powered low-cost portable fundus camera designed to screen for diabetic retinopathy in primary health care settings. This pragmatic trial aims to assess the success rate of a do-it-yourself DIY screening system without active assistant help, along with its accuracy, detection rate, adherence to referral, participant experience, and cost-effectiveness in real-world clinics. Participants will undergo AI-powered fundus camera screening followed by a physician or optometrist consultation. They will complete surveys with questionnaires and participate in a phone interview three months after their baseline assessment. The trial will be conducted over three months in multiple clinics, collecting data from up to 700 patients across different healthcare settings. Throughout the study, researchers will monitor technical feasibility, including image quality and clinic workflow impact, as well as consumer acceptability and satisfaction. Key outcomes include the success rate of the DIY system, diagnostic accuracy, disease detection rates, adherence to referrals, and cost-effectiveness. Participants will be followed up for three months to evaluate these measures and overall experience.
CONDITIONS
Brief Title
AI-Powered DIY Screening System for Diabetic Retinopathy
Research Team
M
Mingguang He
Y
Yanxian Chen
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