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 ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been recently developed ...

An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management hinges on early diagnosis, which is often impeded by non-specific symptoms and ...

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 ...

In a recently published study in the journal Nature Medicine, researchers developed and tested an intelligent model for diagnosing patients with occlusion myocardial infarction (OMI). This model was ...

An electrocardiogram is a picture of the electrical conduction of the heart. By examining changes from normal on the ECG, clinicians can identify a multitude of cardiac disease processes. There are ...