Healio

COPD detected early with AI-powered electrocardiogram interpretation

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

AIML Subsidiary NeuralCloud Collaborates with Movesense to Expand Bundled ECG Solutions for Clinical and Wellness Markets

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 ...

AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Frontiers

End-to-End Non-Invasive ECG Signal Generation from PPG Signal: A Self-Supervised Learning Approach

The final, formatted version of the article will be published soon. Electrocardiogram (ECG) signals are frequently utilized for detecting important cardiac events, such as variations in ECG intervals, ...
IEEE

Enhanced Signal Processing for Arrhythmia Detection in ECG: Comparing Various Machine Learning Approaches

Abstract: Electrocardiogram (ECG) signal classification is important for the early detection of cardiac arrhythmias and the avoidance of life-threatening complications. This work compares several ...
IEEE

Physics-Informed Machine Learning With Dual Kalman Filter for Rotor Temperature Estimation in Induction Machines

Abstract: Accurate real-time estimation of rotor temperature is crucial for effective condition monitoring as well as high-reliability operation of driving motor in electric vehicles. In this study, a ...
Frontiers

Eye-Tracking Biomarkers of Clinical Expertise in ECG Interpretation: Statistical and Machine Learning Evidence

Electrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia The final, formatted version of the article will be published soon. Interpreting ...