SANTA CLARA, Calif.--(BUSINESS WIRE)--HeartBeam, Inc. (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through the power of personalized insights, announced today that ...
AI-enabled ECG system significantly reduces hospital mortality rates by identifying at-risk patients
In a recent study published in the journal Nature Medicine, researchers evaluated the potential of artificial intelligence (AI)-enabled electrocardiogram (ECG) to identify hospitalized patients at ...
An asymptomatic male patient with definite LQTS with a normal ECG and QTc who was flagged by the AI. Photo Credit: J. Martijn Bos and Michael Ackerman. A new artificial intelligence (AI) solution ...
TORONTO, ON / ACCESSWIRE / December 15, 2020 / CardioComm Solutions, Inc. (TSXV:EKG) ("CardioComm" or the "Company"), a global provider of consumer heart monitoring and electrocardiogram ("ECG") ...
An artificial intelligence algorithm for ECG interpretation (AI-ECG) is superior to conventional, guideline-recommended STEMI criteria for identifying patients with chest pain who have an occluded ...
Researchers have developed an AI tool that can help doctors predict who might develop a potentially fatal heart condition, just from an ECG. Subscribe to our newsletter for the latest sci-tech news ...
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.
Researchers have developed an ultrathin, waterproof, gel-free ECG electrode for continuous heart monitoring that offers greater comfort – and less skin irritation – than current devices on the market, ...
Starting in February, Kern County will be the first county in California to deploy new AI-powered electrocardiogram machines to more quickly detect heart attacks in patients in the field. Kern County ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results