Cardiovascular diseases cause one death every 33 seconds in America. Diagnosing these conditions, which account for approximately 20% of all deaths annually, can be difficult because the overlaying ...

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 ...

A new artificial intelligence-based approach can predict if and when a patient could die of cardiac arrest. The technology, built on raw images of patient's diseased hearts and patient backgrounds, ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

Anumana, a joint venture between EHR data company nference and the Mayo Clinic, entered into a multiyear partnership with Pfizer to develop an AI-based tool for the early detection of cardiac ...

A smart-technology wearable wristband device may be able to automatically detect cardiac arrest, which could lead to faster medical assistance and increased survival odds when cardiac arrest occurs ...

Mayo Clinic is developing an algorithm capable of detecting a weak heart pump from electrocardiograms recorded on wearable devices like Apple Watches, potentially enabling early detection of the ...

April 7 (UPI) --A new artificial intelligence-based approach using scans of patients' hearts and their medical history can predict whether they will die from cardiac arrest, a study published Thursday ...

Algorithms used to estimate risk of heart problems are performing poorly when applied to new populations, resulting in substantial risk of harm, according to a study published in Circulation April 5.

Clinician-scientists in the Smidt Heart Institute at Cedars-Sinai developed a clinical algorithm that, for the first time, distinguishes between treatable sudden cardiac arrest and untreatable forms ...