CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, Inc., a leader in cardiovascular AI, today announced U.S. Food and Drug Administration (FDA) clearance of its ECG-AI™ algorithm for cardiac amyloidosis (CA) ...

Anumana, Inc., a leader in cardiovascular AI, today announced U.S. Food and Drug Administration (FDA) clearance of its ECG-AI™ algorithm for cardiac amyloidosis (CA) - the first and only cleared for ...

Anumana, Inc., a leader in cardiovascular AI, today announced U.S. Food and Drug Administration (FDA) clearance of its ECG-AI™ algorithm for cardiac amyloidosis (CA) – the first and only cleared for ...

Abstract: The examination of cardiac illness uses electrocardiograms (ECGs or EKGs), which are electrical recordings of the heart. This heart's electrical activity causes line drawings to appear on ...

Stressor‐associated atrial fibrillation (AF) refers to new‐onset AF that occurs with a reversible, acute stressor. Identifying individuals at highest risk for AF recurrence is essential to guide ...

Abstract: This paper presents the design and implementation of an Arduino-based ECG heart rate monitoring system. The proposed system uses an ECG sensor module to acquire cardiac signals, which are ...

This project implements an end-to-end deep learning pipeline for automated heartbeat classification using the MIT-BIH Arrhythmia Dataset. The system performs ECG signal preprocessing, heartbeat ...

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes. In this episode, ...

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 ...

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.