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Study identifier: NCT07690813 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

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

Condition: Refractive Errors · Cycloplegic Refraction · Accommodation  ·  Sponsor: Second Affiliated Hospital of Nanchang University

PhaseN/A
Planned participants2500
Who can joinAll sexes, 18 Years to 47 Years
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

jian xiong  ·  18170906556  ·  894040417@qq.com

Fu Gui  ·  1387910191  ·  564436578@qq.com

Always discuss trial participation with your own doctor first.

Locations (1)

The Second Affiliated Hospital of Nanchang University, Nanchang, JiangXi 330000Jiangxi, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT07690813