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Machine learning in clinical decision-making

Given the success of the Research Topic Machine Learning in Clinical Decision-Making published in Frontiers in Digital Health, we—the editors of the Research Topic—were pleased to expand the Topic by adding manuscripts that highlight dynamic prediction of mortality among critically ill patients, machine learning models for individualized antimicrobial use duration, electronic health record (EHR) tokenization approaches to patient acuity predictions, and a review of specific artificial intelligence (AI) applications, limitations, and requisites in the United States.


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