DL Models Predicting Cycloplegic Refractive Error Based on Non-Cycloplegic Parameters in Myopic Adults
- Age
- 18 – 47
- Sex
- Any
- Study type
- Observational
- Participants needed
- 2,500 (estimated)
- Sponsor
- Second Affiliated Hospital of Nanchang University · Other
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Check Your EligibilityThis 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.
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