News

HeartBeam’s Deep Learning Algorithms Demonstrate High Rates of Accuracy for Detecting Arrhythmias

(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful personalized insights ...
News Medical

AI-based model can use ECG images to diagnose multiple heart rhythm and conduction disorders

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, ...
Medindia

Machine Learning Revolutionizes ECG Diagnosis for Heart Attacks

Discover how machine learning models are revolutionizing the diagnosis of occlusion myocardial infarction (OMI) in patients with acute chest pain. Machine learning models surpass clinicians and ...
Indiatimes

Deep learning AI may identify atrial fibrillation from a normal rhythm ECG

Nagpur: An artificial intelligence (AI) model has been found to identify patients with intermittent atrial fibrillation even when performed during normal rhythm using a quick and non-invasive 10 ...

HeartBeam (BEAT) Reports Study Showing Comparable Accuracy Between HeartBeam System and Standard 12-Lead ECG in Detecting Arrhythmias

HeartBeam (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care with personalized insights, ...
TCTMD

Machine Learning ‘Sniffs’ Out Long QT Otherwise Unseen on ECG

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 ...
JSTOR Daily

Optimal ECG-lead selection increases generalizability of deep learning on ECG abnormality classification

Deep learning (DL) has achieved promising performance in detecting common abnormalities from the 12-lead electrocardiogram (ECG). However, diagnostic redundancy exists in the 12-lead ECG, which could ...