This study aims to evaluate the effectiveness of an artificial intelligence (AI)-assisted screening system in ophthalmic diagnosis. Using AI-based fundus photography, the system will assist physicians in diagnosing three common eye diseases: age-related macular degeneration and diabetic retinopathy (DR). The AI system will analyze fundus images from participants and rapidly generate detection results for ophthalmologists' reference in making final diagnoses and clinical decisions. The study will assess the clinical benefits of the AI-assisted diagnostic system, providing scientific evidence to enhance the efficiency of ophthalmic disease diagnosis and treatment.
VeriSee AMD is used in non-retinal subspecialty ophthalmology clinics for adults aged 50 and above.
VeriSee DR is used in non-retinal subspecialty clinics for diabetic patients aged 20 and above.
The patient does not agree to participate in the trial or is unable to provide informed consent.
National Taiwan University Hospital
Lead sponsor
Fu Jen Catholic University Hospital
Collaborator
Min-Sheng General Hospital
Collaborator
Ministry of Health and Welfare, Taiwan
Collaborator