Actively Recruiting
Artificial Intelligence for Screening of Multiple Corneal Diseases
Led by Tianjin Eye Hospital · Updated on 2024-11-04
3000
Participants Needed
1
Research Sites
208 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This study developed a deep learning algorithm based on anterior segment images and prospectively validated its ability to identify corneal diseases.The effectiveness and accuracy of this algorithm was evaluated by sensitivity, specificity, positive predictive value, negative predictive value, and area under curve.
CONDITIONS
Official Title
Artificial Intelligence for Screening of Multiple Corneal Diseases
Who Can Participate
Eligibility Criteria
You may qualify if you...
- The quality of slit-lamp images should be clinically acceptable
- More than 90% of the slit-lamp image area including three main regions (sclera, pupil, and lens) are easy to read and discriminate
You will not qualify if you...
- Insufficient information for diagnosis
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Tiajin Eye Hospital
Tianjin, Tianjin Municipality, China
Actively Recruiting
Research Team
Y
Yan Huo, Master
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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