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An Assistant Model for Anti-VEGF Therapy Decision
Sponsor: Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Summary
We present FM-VEGF-CDSS system, the first foundation model-based AI system specifically designed for the decision of anti-VEGF therapy by emulating clinician decision-making reasoning process for those with exudative retinal diseases. FM-VEGF-CDSS is capable of processing multimodal input including optical coherence tomography (OCT) and descriptive medical metadata. Trained and validated on cases from centers across China, the system performed well in both internal and external validation dataset, and could generate the convenient report to enhance decision-making interpretability. To validate its clinical practice, we conducted a prospective multicenter RCT, rigorously assessing FM-VEGF-CDSS system's prediction accuracy and real-world utility. This will improve the standardized decision for anti-VEGF therapy, promoting health equity.
Official title: A Multi-stage Evaluation Foundation Model for Anti-VEGF Therapy Decision: A Randomized Control Trial
Key Details
Gender
All
Age Range
50 Years - 85 Years
Study Type
INTERVENTIONAL
Enrollment
160
Start Date
2026-01-01
Completion Date
2026-08-31
Last Updated
2026-01-09
Healthy Volunteers
No
Interventions
FM-VEGF-CDSS assisted
A Comprehensive Deep Learning Model for Assisting the decision of anti-VEGF therapy: FM-VEGF-CDSS system
without FM-VEGF-CDSS
without FM-VEGF-CDSS
Locations (2)
Shanghai general hospital, Shanghai Jiao Tong University, Shanghai, 200080
Shanghai, China
Shanghai general hospital
Shanghai, China