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 ...

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 ...

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 ...

A deep learning-based ECG analysis tool is able to identify patients at high risk for poor right ventricular function. Areas deemed important by the AI for prediction are highlighted in increasing ...

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 ...

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 ...

AI performed well in conducting preliminary readings of heart ultrasounds - Copyright AFP Fabrice COFFRINI AI performed well in conducting preliminary readings of ...