8 citations · 17 across the 7 of their papers we have counts for
4 papers · 1 filter
Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
Juan Miguel Lopez Alcaraz, Ebenezer Oloyede, David Taylor +2
Background: Electrocardiogram (ECG) analysis has emerged as a promising tool for detecting physiological changes linked to non-cardiac disorders. Given the close connection between…
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
Background: Neoplasms are a major cause of mortality globally, where early diagnosis is essential for improving outcomes. Current diagnostic methods are often invasive, expensive,…
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp
Current deep learning algorithms designed for automatic ECG analysis have exhibited notable accuracy. However, akin to traditional electrocardiography, they tend to be narrowly foc…
Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals
Gabriel Ott, Yannik Schaubelt, Juan Miguel Lopez Alcaraz +2
Cardiovascular diseases remain the leading global cause of mortality. Age is an important covariate whose effect is most easily investigated in a healthy cohort to properly disting…