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Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation

NCT07146737 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 818

Last updated 2025-08-28

No results posted yet for this study

Summary

To evaluate the efficacy of a corneal tomography Imaging model in predicting postoperative vault based on preoperative corneal topography in Implantable Collamer Lens (ICL) surgery.

Conditions

  • ICL
  • Vault
  • Deep Learning
  • AI (Artificial Intelligence)

Interventions

DIAGNOSTIC_TEST

Corneal tomography generation model after ICL surgery

The ICL procedures collected would be assessed by the corneal tomography generation model. The performance of the model would be assessed, including accuracy,AUC, sensitivity and specificity.

Sponsors & Collaborators

  • Second Affiliated Hospital of Nanchang University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-07-01
Primary Completion
2025-07-03
Completion
2028-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07146737 on ClinicalTrials.gov