10 papers
Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
M A Al-Masud, Juan Miguel Lopez Alcaraz, Nils Strodthoff
The 12-lead electrocardiogram (ECG) is a long-standing diagnostic tool. Yet machine learning for ECG interpretation remains fragmented, often limited to narrow tasks or datasets. F…
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,…
Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features
Juan Miguel Lopez Alcaraz, Nils Strodthoff
Ensuring timely and accurate diagnosis of medical conditions is paramount for effective patient care. Electrocardiogram (ECG) signals are fundamental for evaluating a patient's car…
CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study
Juan Miguel Lopez Alcaraz, Nils Strodthoff
Laboratory value represents a cornerstone of medical diagnostics, but suffers from slow turnaround times, and high costs and only provides information about a single point in time.…
Abnormality Prediction and Forecasting of Laboratory Values from Electrocardiogram Signals Using Multimodal Deep Learning
Juan Miguel Lopez Alcaraz, Nils Strodthoff
This study investigates the feasibility of using electrocardiogram (ECG) data combined with basic patient metadata to estimate and monitor prompt laboratory abnormalities. We use t…
Explaining Time Series Classification Predictions via Causal Attributions
Juan Miguel Lopez Alcaraz, Nils Strodthoff
Despite the excelling performance of machine learning models, understanding their decisions remains a long-standing goal. Although commonly used attribution methods from explainabl…