Jun Zhu, Fen-Fen Li, Gao-Xiang Li, Shang-Yang Jiang, Dan Cheng, Fang-Jun Bao, Shuang-Qing Wu, Qi Dai, Yu-Feng Ye
PURPOSE: To use artificial intelligence (AI) technology to accurately predict vault and Implantable Collamer Lens (ICL) size. METHODS: The methodology focused on enhancing predictive capabilities through the fusion of machine-learning algorithms. Specifically, AdaBoost, Random Forest, Decision Tree, Support Vector Regression, LightGBM, and XGBoost were integrated into a majority-vote model. The performance of each model was evaluated using appropriate metrics such as accuracy, precision, F1-score, and area under the curve (AUC)...
March 2024: Journal of Refractive Surgery