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.

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 ...

Prediction is very difficult, especially if it’s about the future, Danish physicist Neil Bohr once said. And no health forecast has confounded doctors like sudden cardiac death. Death may be the first ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...