Artificial Intelligence for Screening of Multiple Corneal Diseases

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.

NCT Number	NCT06211218
Lead Sponsor	Tianjin Eye Hospital
Conditions	Deep Learning, Corneal Disease, Screening
Enrollment	3,000 participants
Start Date	2020-12-06
Primary Completion	2021-12-06 (estimated)
Study Completion	2024-12-06 (estimated)
Updated on ClinicalTrials.gov	2024-11-04