HONG KONG – A Chinese med-tech company plans to take to market what it claims is the first electrocardiography (ECG) diagnostic machine powered by AI, but as it moves to markets beyond China, it could ...
PALO ALTO, Calif.--(BUSINESS WIRE)--Medable, Inc., the leading global platform for decentralized clinical trials, and AliveCor, the leader in AI-based, personal ECG technology, today announced a ...
A new algorithm developed by researchers at the Mayo Clinic can effectively detect patients with a dangerous heart dysfunction using data gathered by an Apple Watch. A large trial is now underway ...
Machine-learning models that incorporate common clinical features along with ECG findings may help identify patients who are likely to have coronary artery calcium (CAC), with potential implications ...
If you ever feel your heart is not beating right, or if you have chest pain, the first person you should see is a <a href= ...
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 ...
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 ...
Heart Test Laboratories (NASDAQ:HSCS) has filed to raise an undisclosed amount in an IPO of its units, consisting of common stock and warrants, according to an S-1 registration statement. The firm is ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback