Trials / Recruiting
RecruitingNCT06211218
Artificial Intelligence for Screening of Multiple Corneal Diseases
Application of Deep Learning for Screening Multiple Corneal Diseases
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 3,000 (estimated)
- Sponsor
- Tianjin Eye Hospital · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
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
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Cornea diseases diagnosed by artificial intelligence algorithm | An artificial intelligence algorithm was applied to diagnose cornea diseases from slit-lamp images. |
Timeline
- Start date
- 2020-12-06
- Primary completion
- 2021-12-06
- Completion
- 2024-12-06
- First posted
- 2024-01-18
- Last updated
- 2024-11-04
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06211218. Inclusion in this directory is not an endorsement.