MedTrace Logo

Machine Learning Prediction of 1-Year Refractive Error After SMILE

NCT07478419 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1100

Last updated 2026-03-17

No results posted yet for this study

Summary

This retrospective single-center observational study is designed to develop and internally validate a multi-output machine learning model for predicting 1-year postoperative refractive prediction error after small incision lenticule extraction (SMILE). The primary modeling target is 1-year spherical equivalent prediction error. Secondary targets include J0 prediction error, J45 prediction error, and postoperative uncorrected distance visual acuity in logarithm of the minimum angle of resolution. A secondary objective is to use the prediction framework to derive individualized nomogram recommendations and to compare these recommendations with ZEISS 4.0 planning in a virtual treatment-planning analysis.

Conditions

  • Myopia
  • Myopic Astigmatism
  • Refractive Error - Myopia Axial

Sponsors & Collaborators

  • Tongji University

    lead OTHER

Eligibility

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

Timeline & Regulatory

Start
2018-09-01
Primary Completion
2025-12-31
Completion
2026-01-31

Countries

  • China

Study Locations

More Related Trials

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 NCT07478419 on ClinicalTrials.gov