Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

Back to Studies
RECRUITING
NCT06669728

Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images

Sponsor: Second Affiliated Hospital of Nanchang University

View on ClinicalTrials.gov

Summary

To evaluate the diagnostic efficacy of deep learning network model in implantable collamer lens selection and prediction in a multicenter cross-sectional study

Official title: Diagnostic Efficacy of Deep Neural Network Algorithm Based on Preoperative Scheimpflug-based Anterior Segment Image for Implantable Collamer Lens Selection and Prediction

Key Details

Gender

All

Age Range

18 Years - 45 Years

Study Type

OBSERVATIONAL

Enrollment

326

Start Date

2021-01-02

Completion Date

2025-08-31

Last Updated

2025-08-22

Healthy Volunteers

Yes

Interventions

DIAGNOSTIC_TEST

AI diagnostic algorithm

The ICL procedures collected would be assessed by the algorithm. The performance of the algorithm would be assessed, including accuracy, AUC, sensitivity and specificity.

Locations (1)

The Second Affiliated Hospital of Nanchang University

Nanchang, Jiangxi, China