Specific and dynamic changes on electrocardiograms (EKGs) of hospitalized patients with COVID-19 or influenza can help predict a timeframe for worsening health and death, according to a new Mount ...

Srinubabu Kilaru has built AI architectures for settings where accuracy matters as much as speed. His work addresses diagnostic delays in cardiology, dental imaging, financial fraud, and autonomous ...

Shrinking waveforms on electrocardiograms may serve as an indicator of which hospitalized COVID-19 and flu patients are at risk of declining health or death, according to findings published Sept. 25 ...

Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden death in adolescents and initial detection is often difficult. A new UC San Francisco study finds that Artificial Intelligence-enhanced ...

Please provide your email address to receive an email when new articles are posted on . An AI model accurately detected features of myocardial ischemia and coronary microvascular and vasomotor ...

Researchers at Ann Arbor, Mich.-based University of Michigan have developed an AI model that can detect coronary microvascular dysfunction — a frequently missed and difficult-to-diagnose heart ...