Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients

Abstract

A PE prediction model performed remarkably well across 32 different external patient populations without retraining and despite significant differences in demographic characteristics, demonstrating its generalizability and potential as a clinical decision support tool to aid PE detection and improve patient outcomes in a clinical setting.