New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy
In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.
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, ...
The year 2010 marks the 50th anniversary of the introduction of cardiopulmonary resuscitation (CPR). During these past 50 years, tremendous research has been conducted to evaluate techniques, ...
Hosted on MSN
AI-enabled ECG algorithm performs well in the early detection of heart failure in Kenya
An artificial intelligence-enabled electrocardiogram-based algorithm performed well in the early detection of heart failure among health-care-seeking individuals in Kenya, according to late-breaking ...
San Francisco-based AliveCor has received FDA clearance for two new algorithms for its smartphone-connected ECG: one that detects normality and one that detects interference. These follow up on ...
Southlake, TX, June 04, 2025 (GLOBE NEWSWIRE) -- HeartSciences Inc. (HSCS) (Nasdaq: HSCS; HSCSW) (“HeartSciences” or the “Company”), an artificial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results