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AI vs. Physician for Anti-VEGF Decision-Making: An RCT
Sponsor: Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Summary
We developed an artificial intelligence system, called QiLin, which was designed to assist anti-VEGF treatment decisions in retinal diseases. QiLin was trained and validated via over 20,000 optical coherence tomography images from multicenter datasets, demonstrating strong performance on both internal and external validation. To evaluate its real-world clinical utility, we conducted a randomized controlled trial that rigorously compares the accuracy of treatment decisions between a physician-only arm and an AI-assisted physician arm.
Official title: An Artificial Intelligence System for Anti-VEGF Treatment Decisions in Retinal Diseases: A Randomized Controlled Trial
Key Details
Gender
All
Age Range
50 Years - 85 Years
Study Type
INTERVENTIONAL
Enrollment
200
Start Date
2026-05-25
Completion Date
2026-10-15
Last Updated
2026-05-22
Healthy Volunteers
No
Interventions
QiLin-assisted
A Comprehensive Deep Learning Model for Assisting the decision of anti-VEGF therapy: QiLin system
physician only, without QiLin assisted
without QiLin assisted
Locations (2)
Shanghai general hospital, Shanghai Jiao Tong University, Shanghai, 200080
Shanghai, China
Shanghai general hospital
Shanghai, China