Anumana’s innovative AI algorithms recognized for their transformative potential in cardiology - the first of which is now commercially available “At Anumana, we are committed to developing ...
San Francisco-based AliveCor has received FDA clearance for two new algorithms for its smartphone-connected ECG: one that detects normality and one that detects interference. These follow up on ...
BELFAST, Northern Ireland--(BUSINESS WIRE)--B-Secur, in collaboration with Maxim Integrated Products, Inc. (NASDAQ: MXIM), has launched an ultra-low power sensor hub that delivers health information ...
Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden death in adolescents and initial detection is often difficult. A new UCSF study finds that Artificial Intelligence-enhanced ...
A new clinical study shows that PulseAI’s deep learning AI demonstrates superiority over the Apple Watch ECG in the detection of atrial fibrillation. Results have been accepted for presentation at the ...
Twelve-lead ECGs, although standard in hospitals, can be bulky and impractical for home use. On the other hand, Apple Watch’s ECG app is easy to use, but it is limited in what it can detect because it ...
Researchers at the Yale Cardiovascular Data Science (CarDS) Lab have developed an artificial intelligence (AI)-based model for clinical diagnosis that can use electrocardiogram (ECG) images, ...
An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...
A new machine-learning tool can identify diabetes and prediabetes using ECG data, according to research recently published online in BMJ Innovations. “The motivation for the study was to search for ...
This article is authored by Dr. Ashok Punjabi is a consultant cardiologist with 40 years of non-invase and invasive ...
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