TMCnet

HeartBeam and Mount Sinai Announce Strategic AI Collaboration to Bring Clinical-Grade Heart Monitoring into the Home

(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful cardiac insights, today announced a strategic collaboration with the Icahn School of Medicine at ...
Physics World

Deep learning teases apart abdominal ECG signals

Extracting the foetal signal from the mother’s abdominal electrocardiogram is a crucial step for monitoring the health of the unborn child. (Courtesy: iStock/iTie) Researchers in Iran have used a deep ...
TCTMD

Machine Learning Based on ECG, Clinical Data Predicts Coronary Calcium

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 ...
MassDevice

HeartBeam, Mount Sinai ink strategic AI collab to bring heart monitoring into the home

HeartBeam (Nasdaq:BEAT) announced today that it entered into a strategic collaboration with the Icahn School of Medicine at Mount Sinai.
FierceBiotech

Mayo Clinic taps AliveCor’s machine learning to broaden ECG analysis

In a collaboration with Mayo Clinic, AliveCor will apply its smartphone electrocardiogram device and machine learning algorithms to tease out new physiological indicators of heart health as well as ...
Business Insider

Real-World Data Validating BeatLogic® Deep Learning Platform for Comprehensive ECG Interpretation Through Remote Cardiac Monitoring Published in Heart Rhythm

MINNEAPOLIS, May 7, 2020 /PRNewswire/ -- Preventice Solutions announced the publication of real-world data further validating BeatLogic ® deep learning models designed to detect and classify multiple ...