Chad Hochberg, MD, discussed how ICU learning health systems and predictive tools may improve critical care delivery. As intensive care units (ICUs) generate ever larger volumes of clinical data, ...

Please provide your email address to receive an email when new articles are posted on . By training artificial intelligence, or AI, algorithms with electronic health record data, researchers ...

Machine learning (ML) models predict in-hospital mortality in intensive care unit (ICU) patients with lymphoma, according to a study published online Aug. 20 in PLOS ONE. Ling Xu, from the Guangzhou ...

Intensive care unit (ICU)–acquired weakness often develops in patients who are undergoing invasive mechanical ventilation. Early active mobilization may mitigate ICU-acquired weakness, increase ...

Here are eight studies and product launches from the month of May that demonstrate the many uses of machine learning artificial intelligence in clinical settings: 1. Amazon Web Services’ Textract ...

As post-pandemic healthcare systems prioritise ICU readiness and patient safety, India’s hospitals are increasingly turning to AI-powered simulation labs that let doctors experience life-and-death ...

Researchers from Princeton (N.J.) University are using machine learning to design a system that could reduce the frequency of tests and improve the timing of critical treatments for intensive care ...

Randomized, controlled trials have shown both benefit and harm from tight blood-glucose control in patients in the intensive care unit (ICU). Variation in the use of early parenteral nutrition and in ...

The purpose of the Baylor College of Medicine Advanced Practice Clinician Critical Care Fellowship is to provide a robust clinical and didactic learning experience to both Acute Care Nurse ...