A machine learning model for predicting ischemic and bleeding risk after percutaneous coronary intervention: Development and external validation
The explainable AI model demonstrated good discrimination and calibration for post-PCI ischemic and bleeding risk prediction and showed higher predictive performance compared with conventional risk scores and may serve as a potential decision-support tool to inform future prospective validation evaluating its clinical...