U.S., July 9 -- ClinicalTrials.gov registry received information related to the study (NCT07690813) titled 'DL Models Predicting Cycloplegic Refractive Error Based on Non-Cycloplegic Parameters in Myopic Adults' on June 21.
Brief 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.
Study Start Date: Oct. 03, 2023
Study Type: OBSERVATIONAL
Condition:
Refractive Errors
Cycloplegic Refraction
Accommodation
Intervention:
DIAGNOSTIC_TEST: Machine learning model for predicting cycloplegic refraction
A machine learning model that predi...