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

Recruiting now

Conditions studied: Refractive Errors, Cycloplegic Refraction, Accommodation

In brief

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.

Key facts

Study ID

NCT07690813

Run by

Second Affiliated Hospital of Nanchang University

People needed

2500

Starts

2023-10-03

Expected to finish

2026-11-25

Last updated by the study team

2026-07-09

Who can join

Age: 18 and older, up to 47. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age 18 to 60 years, of either sex;
• Spherical equivalent between -0.50 diopters and -10.00 diopters, with myopia in one or both eyes, and with cylinder of 4.00 diopters or less;
• Best-corrected visual acuity of 20/25 or better in each eye;
• Clear cornea, no keratoconus, corneal scarring, or other pathologies; clear lens;
• Intraocular pressure of 21 mmHg or less, with no history of glaucoma;
• No history of ocular surgery, especially corneal refractive surgery or cataract surgery;
• Time interval between non-cycloplegic refraction and cycloplegic refraction of 7 days or less, with complete data.

You may not qualify if…

• Incomplete clinical data to support the diagnosis;
• Ocular conditions such as subclinical keratoconus, keratoconus, or moderate-to-severe corneal haze or leukoma;
• Allergy or contraindication to cycloplegic agents;
• Refusal to participate in the study.

Where it is running

• The Second Affiliated Hospital of Nanchang University, Nanchang, JiangXi 330000 — Jiangxi, China (enrolling)

Full record on ClinicalTrials.gov

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