67 citations · 101 across the 16 of their papers we have counts for
5 papers · 1 filter
Towards actionable hypotension prediction -- predicting catecholamine therapy initiation in the intensive care unit
Richard Koebe, Noah Saibel, Juan Miguel Lopez Alcaraz +2
Hypotension in critically ill ICU patients is common and life-threatening. Escalation to catecholamine therapy marks a key management step, with both undertreatment and overtreatme…
ECG-LLM -- training and evaluation of domain-specific large language models for electrocardiography
Lara Ahrens, Wilhelm Haverkamp, Nils Strodthoff
Domain-adapted open-weight large language models (LLMs) offer promising healthcare applications, from queryable knowledge bases to multimodal assistants, with the crucial advantage…
Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning
Julia Matejas, Olaf Żurawski, Nils Strodthoff +1
Purpose: Chest X-rays are essential for diagnosing pulmonary conditions, but limited access in resource-constrained settings can delay timely diagnosis. Electrocardiograms (ECGs),…
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 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…