Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...

Recently a nice paper was published on EHJ, "Foundation models for electrocardiogram interpretation: clinical implications". To test this AI model, we need the csv files of ECG time series. I am ...

DiaCardia enables accurate prediabetes/diabetes screening using either 12-lead or single-lead electrocardiogram (ECG) data, demonstrating potential for scalable and accessible testing devices.

Use of an ECG patch to remotely screen older patients at moderate-to-high stroke risk demonstrated modest benefits in long-term atrial fibrillation (AFib) diagnosis and anticoagulation exposure, based ...

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 developed. This ...

Cannabis use showed no significant association with ECG abnormalities in people with HIV infection, although women had higher odds of abnormal ECG findings than men. Men with HIV infection had higher ...

To better understand which social media platforms Americans use, Pew Research Center surveyed 5,022 U.S. adults from Feb. 5 to June 18, 2025. SSRS conducted this National Public Opinion Reference ...

Electrocardiography (ECG) has been a cornerstone of cardiovascular medicine for more than a century. By capturing the heart's electrical activity through surface electrodes, this deceptively simple ...

Abstract: This feasibility study aims to explore the potential of using Machine Learning to predict orthostatic tolerance time (OTT) using features extracted from 24-hours Holter ECG data, independent ...