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Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography.

Juntae KimIk Hee RyuJin Kuk KimIn Sik LeeHong Kyu KimEoksoo HanTae Keun Yoo
Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2022)
Our machine learning algorithm provides an efficient strategy to identify high-risk patients with myopic regression without additional labor, cost, and time. Surgeons might benefit from preoperative risk assessment of myopic regression, patient counseling before surgery, and surgical option decisions.
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