Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.

Abstract: This project focuses on utilizing machine learning techniques to identify and detect abnormal cardiac conditions through the analysis of Electrocardiogram (ECG) signals. With cardiovascular ...

ECG-based machine learning offers a promising, interpretable approach for liver disease detection, particularly in resource-limited settings. By revealing clinically relevant biomarkers, this method ...

Hansen Family Hospital is pleased to announce the purchase of an EKG machine at Ackley Medical Center through a grant provided by the Ackley Community Foundation. The EKG (electrocardiogram) machine ...

IIT Indore has developed a secure technology for ECG machines and pacemakers, preventing counterfeit chips and enhancing reliability. This patented development, led by Professor Anirban Sengupta, ...

JOPLIN, Mo. — A health clinic that relies solely on donations and private funding gets a little boost from a local bank. The Arvest Foundation has donated $5,000 to the Community Clinic of Southwest ...

Introduction: The utility of ECG to diagnose left ventricular hypertrophy (LVH) in patients with left bundle branch block (LBBB) is limited. We sought to compare the diagnostic yield of ECG using (i) ...

Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced ...

Accra, Aug. 1, GNA – The Electricity Company of Ghana (ECG) has digitised 3.3 million unique assets nationwide through its Customer & Assets Information Management System (CAIMS). The CAIMS project is ...

Compared with the Revised Cardiac Risk Index (RCRI), PreOpNet, an AI algorithm, was more effective in identifying patients at high risk for postoperative mortality. An artificial intelligence (AI) ...