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 ...
In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.
A research team led by Dr Rosario Delgado from the UAB Department of Mathematics, in collaboration with the Hospital de Mataró, developed a new machine learning-based model that predicts the risk of ...
Please provide your email address to receive an email when new articles are posted on . Ventilators may unintentionally harm patients; research is lacking in children. A new study will test how well ...
Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients with sepsis complicated by acute respiratory failure. Using routinely ...
After weeks of searching high and low for ventilators, New York Gov. Andrew Cuomo and health care leaders around the state have seen signs of improvement and are sending some of the frantically ...