Skip to main content
OpenTrials
Recruiting

NCT Number: NCT06211218

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.

Recruiting

Interested in participating?

Request Info

Key information

Conditions

Deep Learning Corneal Disease Corneal Diseases Eye Diseases Screening

Sex eligibility

All sexes

Study type

Observational

Primary location

Tiajin Eye Hospital

Tianjin, Tianjin Municipality, China

Location status: Recruiting

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Cornea diseases diagnosed by artificial intelligence algorithm

Diagnostic Test

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

Primary outcomes

  1. Area under curve

    Time frame: 1 week

    We used the receiver operating characteristic (ROC) curve and area under curve to examine the ability of this artificial intelligence algorism recognition and classification of corneal diseases.

  2. Sensitivity and specificity

    Time frame: 1 week

    We used sensitivity and specificity to examine the ability of this artificial intelligence algorism recognition and classification of corneal diseases.

Study contacts

Contact information is provided by the study sponsor or research team.

Yan Huo, Master

CONTACT

[email protected]

13102118953

Sponsors and collaborators

Lead sponsor

Tianjin Eye Hospital

Other

Registry information

Official study title

Application of Deep Learning for Screening Multiple Corneal Diseases

Important dates

Study start
2020
Primary completion
2021
Study completion
2024
First posted
Jan 18, 2024
Registry last updated
Nov 4, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.