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Eko Health received FDA clearance this week for a new AI-powered tool that aids in the early detection of low ejection fraction, a key indicator of heart failure.. About 6.2 million Americans ...
Virtual echocardiography screening tool scores calculated via algorithm matched manually calculated scores and are promising ...
NewYork-Presbyterian researchers have developed a deep learning model that increases doctors' abilities to diagnose ...
Doctors have long called hypertrophic cardiomyopathy (HCM) “the great masquerader. ” It hides in plain sight, often mistaken for other heart issues.
An AI algorithm could help to predict which patients might develop significant heart problems years in advance, just based on ...
San Francisco, CA, Dec. 18, 2019 (GLOBE NEWSWIRE) -- Eko, a digital health company applying artificial intelligence (AI) in the fight against heart disease, today announced the U.S. Food and Drug ...
Belgrade, Serbia – 17 May 2025. An artificial intelligence-enabled electrocardiogram-based algorithm performed well in the early detection of heart failure among healthcare-seeking individuals ...
Heart failure affects nearly 6.7 million adults in the U.S., resulting in over $30 billion in annual healthcare costs and nearly 50% of patients being readmitted within six months.
An AI-based algorithm for the detection of heart failure gained FDA clearance. The system is designed to quickly detect low ejection fraction during a routine physical exam.
ISSAQUAH, Wash.--(BUSINESS WIRE)--BaroPace Inc. announces its Phase I first-in-human trial of PressurePace TM, its patent-pending pacemaker control algorithm for the treatment of heart failure ...
A Novel Cardiac Scale and Algorithm for Detecting Worsening Congestion Preceding Heart Failure Events (HFEs): A Preliminary Analysis of the SCALE-HF 1 Study. Presenter: Marat Fudim. March 06, 2024.
The machine learning algorithm RF-SLAM accurately predicted all-cause mortality and heart failure hospitalization among patients with implantable cardioverter defibrillators.
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