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ECG-based AI model doubles early liver disease diagnoses

As rates of obesity, high blood pressure, type 2 diabetes and sleep apnea increase, cases of advanced chronic liver disease ...
EurekAlert!

AI model helps diagnose often undetected heart disease from simple EKG

Doctors may soon be able to diagnose an elusive form of heart disease, coronary microvascular dysfunction, within seconds by using an AI model developed at University of Michigan, according to a ...
IEEE

DeepTWA-TM: Deep Learning T-Wave Alternans Detection in Ambulatory ECG via Time Analysis

Abstract: The development of non-invasive markers for assessing the risk of sudden cardiac death has gained significant attention, particularly T-wave alternans (TWA), which can be recorded from ...
Frontiers

Multimodal deep learning model for enhanced early detection of aortic stenosis integrating ECG and chest x-ray with cooperative learning

1 Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan 2 Division of Molecular Epidemiology, Kobe University Graduate School ...
IEEE

Energy-Efficient Health Monitoring in Smart Devices: Deep Learning-Based Technique for Wearable ECG Systems

Abstract: This paper develops a novel deep learning-based framework for real-time ECG classification while minimizing energy consumption. It proposes the use of gated recurrent units (GRUs) for robust ...