Development and internal evaluation of an interpretable machine learning model based on clinical and radiomics features to differentiate lower extremity arterial embolism from atherothrombosis
Introduction Accurate differentiation between lower extremity arterial embolism (AE) and atherothrombosis is essential. This study aimed to develop and validate an interpretable machine learning (ML) model combining clinical and radiomics features for preoperative non-invasive diagnosis. Methods This retrospective stud...