An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).

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 ...

TORONTO, ON / ACCESS Newswire / January 20, 2026 / NeuralCloud Solutions Inc. ("NeuralCloud"), a subsidiary of AI/ML Innovations Inc. ("AIML" or the "Company") (CSE:AIML) (OTCQB:AIMLF) (FWB:42FB), is ...

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

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

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

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 ...