Phillip Zmijewski explores how AI-driven cardiac monitoring, intended to reduce noise, creates a new "trust fatigue" for ...

The lead researchers have said they’re developing this piece of wearable tech in large part to help spot inherited heart ...

Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...

A silent heart attack can severely damage the heart without obvious symptoms, often going undetected until complications ...

Southlake, TX, Jan. 29, 2026 (GLOBE NEWSWIRE) -- HeartSciences Inc. (Nasdaq: HSCS; HSCSW) (“HeartSciences” or the “Company”), a healthcare information ...

NEW prospective data suggest that artificial intelligence–enabled electrocardiogram (ECG) screening can be successfully implemented in real-world clinical settings to help identify patients with ...

Abstract: This study introduces a novel, computationally efficient time-domain (TD) algorithm for accurate breath rate (BR) estimation from single-lead ECG signals, designed for wearable devices. The ...

Abstract: Cardiovascular diseases (CVDs) are among the leading causes of mortality. Traditional diagnostic methods require hospital visits and professional medical personnel, but the timely detection ...

An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...