Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography
Version 1The aim of this study is to develop deep learning models that can identify high-risk patients for refractive regression based on preoperative data and fundus photography. This retrospective study was approved by the Institutional Review Board of Korean National Institute for Bioethics Policy (KoNIBP, 2019-1685-003), which waived the requirement for informed consent because the data was fully de-identified to protect patient confidentiality. The collection of external validation samples in each
No license available
The aim of this study is to develop deep learning models that can identify high-risk patients for refractive regression based on preoperative data and fundus photography.
This retrospective study was approved by the Institutional Review Board of Korean National Institute for Bioethics Policy (KoNIBP, 2019-1685-003), which waived the requirement for informed consent because the data was fully de-identified to protect patient confidentiality. The collection of external validation samples in each