Machine learning analysis demonstrates outcome prediction of one-year stroke or death following transfemoral carotid artery stenting, highlighting opportunities to guide clinical decisions.
Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision-making but remain limited. We developed machine learning algorithms that predict 1-year stroke or death following TFCAS.
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Li et al. (2024) studied this question.
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