RecruitingNCT06669728

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

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

Sponsor

Second Affiliated Hospital of Nanchang University

Enrollment

326 participants

Start Date

Jan 2, 2021

Study Type

OBSERVATIONAL

Conditions

Myopia Posterior Chamber Phakic Intraocular Lens Vault Deep Neural Network Anterior Chamber Angle

Summary

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

Eligibility

Min Age: 18 YearsMax Age: 45 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying AI diagnostic algorithm for people with anterior chamber angle, deep neural network, and other related conditions. The study is currently recruiting participants at 1 location. People eligible for this study include aged 18 Years to 45 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTAI 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.