Machine learning-based early risk stratification for pulmonary thromboembolism in critically ill patients undergoing chest CT: a retrospective cohort study using CT-confirmed outcomes
Pulmonary thromboembolism is a preventable cause of death in critically ill patients, and thromboprophylaxis decisions in the intensive care unit are made under diagnostic uncertainty. Risk scores derived from general inpatients discriminate poorly in intensive care. We developed and internally validated a machin...