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Recruiting NCT06211218

Artificial Intelligence for Screening of Multiple Corneal Diseases

— Observational Deep Learning Corneal Disease Screening

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Cornea diseases diagnosed by artificial intelligence algorithm.
Who it may be relevant to
Registry conditions: Deep Learning, Corneal Disease, Screening. Basic parameters: No limits · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Unsure about the terms? Read our patient guide →

Official title

Application of Deep Learning for Screening Multiple Corneal Diseases

Overview

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.

Interventions

  • Diagnostic test Cornea diseases diagnosed by artificial intelligence algorithm
    An artificial intelligence algorithm was applied to diagnose cornea diseases from slit-lamp images.

Primary outcome measures

  • Area under curve [Time frame: 1 week]
  • Sensitivity and specificity [Time frame: 1 week]

Eligibility criteria

Inclusion criteria

  • 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 criteria

1）Insufficient information for diagnosis.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Case-control

Study locations

China · 1 center
  • Tiajin Eye Hospital — Tianjin

Identifiers

NCT: NCT06211218 · KY-2023083

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗