Machine Learning–Based Prediction of LASIK Console Inputs for Aspheric Planning (Q-factor, Defocus, Astigmatism): A Translational Methods Study

Steven Garnier

Open source

DOI: 10.3928/1081597x-20260415-02
Published: 2026-07-01
Container: Journal of Refractive Surgery
Publisher: SLACK, Inc.
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3928/1081597x-20260415-02,
  title = {Machine Learning–Based Prediction of LASIK Console Inputs for Aspheric Planning (Q-factor, Defocus, Astigmatism): A Translational Methods Study},
  author = {Steven Garnier},
  year = {2026},
  journal = {Journal of Refractive Surgery},
  doi = {10.3928/1081597x-20260415-02},
  url = {https://doi.org/10.3928/1081597x-20260415-02}
}

RIS

TY  - JOUR
TI  - Machine Learning–Based Prediction of LASIK Console Inputs for Aspheric Planning (Q-factor, Defocus, Astigmatism): A Translational Methods Study
AU  - Steven Garnier
PY  - 2026
JO  - Journal of Refractive Surgery
DO  - 10.3928/1081597x-20260415-02
UR  - https://doi.org/10.3928/1081597x-20260415-02
ER  -

APA

Garnier, S. (2026). Machine Learning–Based Prediction of LASIK Console Inputs for Aspheric Planning (Q-factor, Defocus, Astigmatism): A Translational Methods Study. Journal of Refractive Surgery. https://doi.org/10.3928/1081597x-20260415-02

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crossref · retrieved 2026-09-26T04:00:04.457Z