Artificial Intelligence for Screening of Multiple Corneal Diseases
Recruiting
Observational Study
Deep Learning
Corneal Disease
Screening
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Sex
- Any
- Study type
- Observational
- Participants needed
- 3,000 (estimated)
- Sponsor
- Tianjin Eye Hospital · Other
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About This Trial
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.
Trial Locations
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Eligibility Criteria
Inclusion Criteria:
1. The quality of slit-lamp images should clinical acceptable.
2. More than 90% of the slit-lamp image area including three main regions (sclera, pupil, and lens) are easy to read and discriminate.
Exclusion Criteria:
1）Insufficient information for diagnosis.
Contacts