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Machine Learning-based Prediction of LASIK Console Inputs for Aspheric Planning (Q-factor, Defocus, Astigmatism): A Translational Methods Study
2025-12-19
ophthalmology
Title + abstract only
View on medRxiv
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PurposeAspheric planning in laser refractive surgery remains difficult: surgeons often rely on empirical nomo-grams or simple linear regression for defocus and astigmatism, while console Q-factor modulation yields a variably predictable effect on asphericity and an inconsistent cross-effect on defocus. This translational methods proof-of-concept frames planning as supervised prediction of console-programmable inputs (de-focus, astigmatism, Q-factor) and evaluates competing models; it is not a cl...
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