BMJ

Generalisable artificial intelligence ECG trained on public data for outcome prediction after transcatheter aortic valve replacement

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.
Frontiers

AI-Enhanced Computational Tools for Early Detection of Mental and Neurological Disorders

Mental and neurological disorders, including Alzheimer’s disease, Parkinson’s disease, depression, and schizophrenia, represent a growing global health ...
IEEE

Application of Deep Learning in ECG Signal Classification: Comparison of CNN, LSTM, and Hybrid Approaches

Abstract: In this paper, the application of deep learning for ECG signal classification is discussed. Three different approaches, namely Convolutional Neural Network (CNN), Long Short-Term Memory ...