An explainable machine learning framework for accurate prediction of postoperative anterior chamber depth in highly myopic cataract surgery
This study successfully developed and validated an explainable RF-based machine learning model for the prediction of postoperative ACD in highly myopic cataract patients, which supports more reliable IOL power calculation and offers a practical tool for optimizing surgical planning in highly myopic eyes.