Ignite Creation Date:
2025-12-24 @ 5:10 PM
Ignite Modification Date:
2025-12-27 @ 9:28 AM
Study NCT ID:
NCT05981950
Status:
RECRUITING
Last Update Posted:
2023-08-08
First Post:
2023-08-01
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Real-world of AI in Diagnosing Retinal Diseases
Sponsor:
Beijing Tongren Hospital
Organization:
Study Overview
Official Title:
Real-world Application of Using Artificial Intelligence in Diagnosing Retinal Diseases
Status:
RECRUITING
Status Verified Date:
2023-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The objective of this study is to apply an artificial intelligence algorithm to diagnose multi-retinal diseases in real-world settings. The effectiveness and accuracy of this algorithm are evaluated by sensitivity, specificity, positive predictive value, negative predictive value, and area under curve.
Detailed Description:
The objective of this study is to apply an artificial intelligence algorithm to diagnose referral diabetes retinopathy, referral age-related macular degeneration, referral possible glaucoma, pathological myopia, retinal vein occlusion, macular hole, macular epiretinal membrane, hypertensive retinopathy, myelinated fibers, retinitis pigmentosa and other retinal lesions from fundus photography. tic 45-degree fundus cameras, trained operators took binocular fundus photography on participants. Operators were then asked to identify gradable images and unload for algorithm diagnosis. The effectiveness and accuracy of this algorithm are evaluated by sensitivity, specificity, positive predictive value, negative predictive value, area under curve, and F1 score.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: