RecruitingNCT06211218
Artificial Intelligence for Screening of Multiple Corneal Diseases
Application of Deep Learning for Screening Multiple Corneal Diseases
Sponsor
Tianjin Eye Hospital
Enrollment
3,000 participants
Start Date
Dec 6, 2020
Study Type
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria2
- The quality of slit-lamp images should clinical acceptable.
- More than 90% of the slit-lamp image area including three main regions (sclera, pupil, and lens) are easy to read and discriminate.
Exclusion Criteria1
- ）Insufficient information for diagnosis.
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Interventions
DIAGNOSTIC_TESTCornea diseases diagnosed by artificial intelligence algorithm
An artificial intelligence algorithm was applied to diagnose cornea diseases from slit-lamp images.
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT06211218
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