The first comprehensive framework to guide cardiac evaluation in the Armed Forces has been issued by the European Association of Preventive Cardiology (EAPC) of the ESC. Published in the European ...
Wearable health sensors such as photoplethysmography (PPG) wristbands, ECG patches and multi-modal biometric devices are typically developed and calibrated under controlled laboratory conditions.
Medical decisions are really hard, and I think that’s why AI is so exciting for me,” said Ziad Obermeyer, the study’s lead ...
UC Berkeley researchers trained AI to detect hidden warning signs of sudden cardiac death in routine ECG tests, according to ...
A UC Berkeley-led project trained an AI system on hundreds of thousands of EKGs. The resulting risk predictions are much better than existing methods, paving the way to save lives at scale. June 27, ...
UC Berkeley (Calif.) researchers have developed an AI model that identifies sudden cardiac death risk from standard electrocardiograms more accurately than current clinical tests, according to a study ...
Cardiac Da Pulse stops by All 414 All to talk new single “Safe Space,” his Milwaukee roots, and the journey that brought him here.
Researchers mapped 442,239 single nuclei from nonfailing human hearts to chart how cardiac cells change from fetal ...
Parallel efforts to manage adverse data occurred at the National Institutes of Health (NIH), according to the congressional ...
Background: Heart failure with preserved ejection fraction (HFpEF) is a highly prevalent syndrome associated with substantial morbidity and mortality. Accurate diagnosis is often challenging and ...
Background Accurate pre-ablation differentiation between left (LVOT) and right (RVOT) ventricular outflow tract arrhythmias (OTVAs) using ECG algorithms is essential for decision on vascular access ...
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 AI-enabled software-as-a-medical-device ...