ARTIFICIAL intelligence (AI) was shown to predict cardiac arrest with striking accuracy using time series electrocardiography (ECG) data, offering a potential breakthrough in early cardiac risk ...

Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial intelligence (AI) tool that can analyze a standard electrocardiogram (ECG) ...

HGTV's "Rehab Addict" has been canceled after its star, Nicole Curtis, was caught on video using a racial slur while filming the series. In a video obtained by Radar Online, Curtis is heard blurting ...

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 ...

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 ...

Mental workload is a measure of the cognitive effort required to successfully perform a task, and is a function of task difficulty and individual expertise. Understanding the mental workload which is ...

Publish your MATLAB® functions to MATLAB Production Server™ as Model Context Protocol (MCP) tools. This allows AI agents to call your functions, enhancing their capabilities with domain-specific ...

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

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 ...

Background: To ensure clinical adoption of artificial intelligence (AI)-electrocardiogram (ECG), it is essential to understand why the AI makes certain predictions. Traditional explainable AI (XAI) ...