Nature

Machine learning approaches that use clinical, laboratory, and electrocardiogram data enhance the prediction of obstructive coronary artery disease

Pretest probability (PTP) for assessing obstructive coronary artery disease (ObCAD) was updated to reduce overestimation. However, standard laboratory findings and electrocardiogram (ECG) raw data as ...
Nature

Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level

Artificial intelligence-enabled electrocardiogram (ECG) algorithms are gaining prominence for the early detection of cardiovascular (CV) conditions, including those not traditionally associated with ...

European Patent Granted for ECG-Based Assessment of Diastolic Function, Expands HeartSciences’ Patent Portfolio to More Than 45 Granted Patents

Patent covers machine-learning models that use ECG data to estimate echocardiogram parameters indicative of diastolic functionSouthlake, TX, June 11, 2026 (GLOBE NEWSWIRE) -- HeartSciences Inc.
STAT

AliveCor gets FDA nod for portable 12-lead, AI-powered ECG device

AliveCor has spent years battling with Apple over the market for consumer heart monitoring technology. Now it’s hoping to make its imprint on professional health care with its new device, which ...