Add Yahoo as a preferred source to see more of our stories on Google. An illustrated photo composite of the Sonorus device and its software running on a laptop. - Zooey Liao / Masahble / Getty Images ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD than traditional tools. Heart failure is one of the most serious and ...
Scientific research teams from Brigham and Women’s Hospital in Boston, Cincinnati Children’s Hospital Center and the University of Pittsburgh will lead a new $15 million initiative dedicated to better ...
Scientific research teams from Mass General Brigham Heart and Vascular Institute in Boston, Cincinnati Children's Hospital Center and the University ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
The latest generation of cardiovascular leaders is helping reshape how heart disease is predicted, prevented and treated, with a growing focus on data, early intervention and personalized care. These ...
A novel study has revealed a link between extreme weather and the risk of cardiovascular disease among middle-aged and older ...
Overview: AI is revolutionizing healthcare, enabling faster diagnosis, smarter treatments, and improved patient outcomes in ...
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