AI could help predict nutrition risks in ICU patients

A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could ...
News-Medical.Net on MSN

Early identification of nutrition risk in ICU patients using artificial intelligence

A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could ...
BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...