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Artificial Intelligence for Screening of Multiple Corneal Diseases

NCT06211218 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2024-11-04

No results posted yet for this study

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.

Conditions

  • Deep Learning
  • Corneal Disease
  • Screening

Interventions

DIAGNOSTIC_TEST

Cornea diseases diagnosed by artificial intelligence algorithm

An artificial intelligence algorithm was applied to diagnose cornea diseases from slit-lamp images.

Sponsors & Collaborators

  • Tianjin Eye Hospital

    lead OTHER

Principal Investigators

  • Yan Wang, Prof · Tianjin Eye Hospital

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-12-06
Primary Completion
2021-12-06
Completion
2024-12-06

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06211218 on ClinicalTrials.gov