Perelman School of Medicine cardiologist Rajat Deo has been studying electrocardiographic (ECG) data and cardiac rhythms for ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
Researchers at the University of Pennsylvania have developed an AI model, CAMEL, that can forecast cardiac arrest 10 to 15 minutes before it occurs by analyzing extended ECG data. Unlike traditional ...
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 ...
Using artificial intelligence (AI) to analyze electrocardiograms (ECG) improved detection of severe heart attacks, including those that presented with unconventional symptoms, or atypical ECG patterns ...
CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, a leader in cardiovascular AI, has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its pulmonary hypertension (PH) algorithm, an ...
Anumana, Inc., a leader in cardiovascular AI, today announced U.S. Food and Drug Administration (FDA) clearance of its ECG-AI(TM) algorithm for cardiac amyloidosis (CA) -- the first and only cleared ...
Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at University of Michigan, according to a recent study. Researchers trained the ...