Big-data and artificial-intelligence-assisted vault prediction and EVO-ICL size selection for myopia correction.

Yang ShenLin WangWeijun JianJianmin ShangXin WangLie JuMeiyan LiJing ZhaoXun ChenB Zongyuan GeXiaoying WangXing-Tao Zhou

Published in: The British journal of ophthalmology (2021)

Random Forest, Gradient Boosting and XGBoost models are applicable for vault predicting and ICL sizing. AI may assist ophthalmologists in improving ICL surgery safety, designing surgical strategies, and predicting clinical outcomes.

Keyphrases

artificial intelligence
big data
machine learning
deep learning
minimally invasive
climate change
coronary artery bypass
surgical site infection
coronary artery disease
acute coronary syndrome
atrial fibrillation