Clinical Trial

DL Models Predicting Cycloplegic Refractive Error Based on Non-Cycloplegic Parameters in Myopic Adults

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Summary
This study presents a machine learning model that predicts cycloplegic refraction in adults with myopia using standard non-cycloplegic eye measurements, aiming to reduce the need for cycloplegic drops while still identifying patients who require them.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2026-07-05.
Trial Details
NCT Number NCT07690813
Lead Sponsor Second Affiliated Hospital of Nanchang University
Conditions Refractive Errors, Cycloplegic Refraction, Accommodation
Enrollment 2,500 participants
Start Date 2023-10-03
Primary Completion 2026-11-25 (estimated)
Study Completion 2026-11-25 (estimated)
Updated on ClinicalTrials.gov 2026-07-09