A new study in the journal Pediatrics has demonstrated an algorithm to evaluate when children with chest pain should be referred for further diagnosis. Pediatric chest pain is seldom due to heart ...

NICE has given the go-ahead for the use of two algorithms, HeartLogic and TriageHF, in cardiac implantable electronic devices (CIEDs) to alert remote healthcare professionals to suspected worsening of ...

Researchers from New York City-based Mount Sinai have developed an AI algorithm to help physicians identify patients with hypertrophic cardiomyopathy by assigning a numeric probability risk assessment ...

Researchers have developed a machine learning algorithm to accurately detect heart murmurs in dogs, one of the main indicators of cardiac disease, which affects a large proportion of some smaller ...

In a clinical report published online Dec. 16 in Pediatrics, the American Academy of Pediatrics endorses a new algorithm for use in critical congenital heart disease (CCHD) screening, which was added ...

Artificial intelligence could soon help expand access to heart disease screening at scale, NewYork-Presbyterian researchers have shown in a new study. Their findings are focused on a deep learning ...

Please provide your email address to receive an email when new articles are posted on . An AI-based algorithm for the detection of heart failure gained FDA clearance. The system is designed to quickly ...

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, ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--HeartBeam, Inc. (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through the power of personalized insights, today announced new ...

SAN FRANCISCO--(BUSINESS WIRE)--Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today announced that it has signed an exclusive agreement with University of ...

To address out-of-hospital cardiac arrest, Osaka Metropolitan University researchers developed a new scoring method that uses only data available from prehospital resuscitations to accurately predict ...