Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings
As the implementation of artificial intelligence (AI)-enabled tools is realized across diverse
clinical environments, there is a growing understanding of the need for ongoing monitoring …
clinical environments, there is a growing understanding of the need for ongoing monitoring …
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks
Objective Development of electronic health records (EHR)-based machine learning models
for pediatric inpatients is challenged by limited training data. Self-supervised learning using …
for pediatric inpatients is challenged by limited training data. Self-supervised learning using …