An Assistant Model for IRD Care Needs: A Randomized Control Trial
NCT06839170 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 300
Last updated 2026-03-16
Summary
we present FM-IRD(also designated as Retina4IRD), the first foundation model-based AI system specifically designed for genotype diagnosis of IRD by emulating clinician decision-making reasoning process. Retina4IRD is capable of processing multimodal input including color fundus photography (CFP), optical coherence tomography (OCT), and descriptive medical metadata. Trained and validated on genetically confirmed cases from centers across China, South Korea, and Poland, the system generates a ranked list of candidate pathogenic genetic variants. Retina4IRD also can generated attention heatmaps to enhance decision-making interpretability. To validate its clinical impact, we conducted a prospective multicenter RCT involving 295 participants, rigorously assessing Retina4IRD's diagnostic accuracy and real-world utility. This will improve the standardized diagnosis of IRD diseases, effectively transforming the traditional time-consuming and resource-intensive diagnostic pathway into an efficient intelligent workflow
Conditions
Interventions
- OTHER
-
FM-IRDs assisted
A Foundation Model for Assisting the precision Diagnosis of Inherited Retinal Diseases: FM-IRDs
- OTHER
-
without FM-IRDs
without FM-IRDs
Sponsors & Collaborators
-
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
lead OTHER
Principal Investigators
-
Xiaodong Sun, PhD · Shanhai General Hopsital
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-02-27
- Primary Completion
- 2025-06-07
- Completion
- 2025-07-01
Countries
- China
Study Locations
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