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.
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;
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.