AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma
NCT: NCT07318428 · COMPLETED
Brief Summary
The purpose of this multi-center study is to evaluate the extent to which AI-assisted fundus image interpretation improves the diagnostic performance of ophthalmologists. Rather than assessing the standalone algorithm performance, this study aims to determine the clinical value of using AI as a decision-support tool within actual clinical workflows. At each participating institution, five ophthalmologists within three years of board certification and five ophthalmology residents will participate as readers. All readers will interpret fundus images both with and without the AI-based assistance software. The study will quantitatively compare diagnostic accuracy and reading time across the two conditions for four posterior segment diseases: diabetic retinopathy, age-related macular degeneration, retinal vein occlusion, and glaucoma.
Frequently Asked Questions
What is AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma?
AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma is a clinical trial registered under NCT07318428. Current status: COMPLETED.
What is the status of NCT07318428?
The current status of NCT07318428 (AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma) is: COMPLETED.
When did AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma start?
AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma started on 2026-02-20.
Official Source
View on ClinicalTrials.gov →Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.