When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...
As the science of Crohn’s disease (CD) rapidly evolves, the American Gastroenterological Association (AGA) has issued a living guideline on the pharmacologic management of moderately to severely ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply intelligent clinical decision-making. The study investigates how ...
Introduction: Cardiovascular health is increasingly at risk due to modern lifestyle factors such as obesity, smoking, stress, hypertension, and sedentary behavior. Post-pandemic health practices and ...
"Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." Whether you want something that’s easy on the joints or to help support your glute gains goals, stair ...
Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate. Heart rate is one of the most basic and important ...
This study aimed to develop a machine learning‐based model to predict the risk of major adverse cardiac events (MACE) in patients presenting to the emergency department (ED) with chest pain, for whom ...