Saturday, October 17, 2026 · Edition updated 6:00 AM ETSAT, OCT 17 · 6 AM ET editionNext edition in Next --:--:--

Can AI help family doctors spot eye disease early in older adults

Recruiting · National Taiwan University Hospital

What this means

A trial is testing an AI tool that checks eyes for diabetes and macular eye damage. It has not reported results, so we do not yet know if it works.

Plain-English summary written by an AI model from the registry listing.

Status
Recruiting
Who can join
Ages 20 and over
Where
1 site

Contacts and how to join ↗

The science

Registered title
Artificial Intelligence-Aided Screening for Patients With Diabetic Retinopathy and Age-related Macular Degeneration in Family Medicine and Geriatric Medicine Outpatient Clinics
Phase
Not applicable
Study type
interventional
Conditions
Age-Related Macular Degeneration (AMD), Diabetic Retinopathy (DR)
What is tested
VeriSee AI-assisted screening tools for diabetic retinopathy and age-related macular degeneration, Standard fundus photography with physician interpretation
Sponsor
National Taiwan University Hospital
Ages
20 Years to no maximum
Dates
First posted Jul 17, 2025 · updated Jul 22, 2026

Registry summary

Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are leading causes of vision loss, with rising incidence due to aging populations and increasing diabetes prevalence. However, delayed diagnoses are common due to low disease literacy and lack of dedicated screening tools in internal medicine. This multi-center RCT at National Taiwan University Hospital evaluates the clinical effectiveness and cost-effectiveness of the VeriSee AI-assisted diagnostic software for DR and AMD screening. Participants include adults with diabetes and individuals aged 50 and above meeting AMD screening criteria, randomized to AI-assisted screening with immediate physician explanation or standard physician-only screening. Primary outcomes include detection rates of DR and AMD, ophthalmology referral outcomes, and patient/physician satisfaction. Data collection will occur from April 2025 to December 2027. This study aims to provide evidence on the clinical utility of AI-assisted ophthalmic screening in improving early detection, facilitating timely treatment, and reducing severe visual impairment and healthcare burdens in real-world clinical settings.

Sites (1)

  • National Taiwan University Hospital, Taipei, Taiwan
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