Qing-Ming Li

Development and validation of an explainable machine learning model for risk stratification in patients with clinically suspected acute pulmonary embolism: retrospective study

A machine learning model predicts acute pulmonary embolism risk in suspected patients to reduce unnecessary CTPA overuse and radiation exposure and provides interpretable explanations for individual risk predictions.