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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

Abstract excerpt

<h4>Purpose</h4> Aspheric 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-progra...

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Literature Corpus work
c81a2f55-838a-5df4-97b3-791a17b0f627
DOI
10.64898/2025.12.09.25341758
Open publication

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Machine Learning–based Prediction of LASIK Console Inputs for Aspheric Planning (Q-factor, Defocus, Astigmatism): A Translational Methods StudyDOI 10.64898/2025.12.09.25341758
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