Artificial Intelligence for Screening of Multiple Corneal Diseases
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorTianjin Eye Hospital
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.
Eligibility criteria
Qualifiers
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.
Disqualifiers
None
Trial design
Treatments tested in this trial
- Cornea diseases diagnosed by artificial intelligence algorithm
Treatment groups
3,000 Participants
are divided into 1 treatment groupSponsors and collaborators
Source ClinicalTrials.gov