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Author

J. Boeddinghaus

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4 papers indexed here

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Open access Oct 2026

External validation of artificial intelligence–based electrocardiographic models for heart failure detection across diverse clinical settings

In up to 50% of patients, heart failure (HF) is first diagnosed at the time of hospitalization for acute HF, representing a missed opportunity for earlier treatment. Artificial intelligence–enhanced electrocardiography (AI-ECG) offers a rapid and scalable opportunity for HF detection and risk stratification. Two...

A. Champetier, L. Chollet, K. Rumora et al. · 0 citations
Open access Oct 2026

Incidence and burden of new-onset atrial fibrillation after STEMI detected by 14-day ECG patch monitoring

Reported new-onset atrial fibrillation (NOAF) incidence following ST-segment elevation myocardial infarction (STEMI) varies widely, likely reflecting disease severity and differences in monitoring intensity. Robust data on post-STEMI AF burden is needed to guide therapeutic decisions, such as initiation of antico...

C. Moser, A. Bettelini, J. Bruegger et al. · 0 citations
Open access Oct 2026

Development and validation of a novel prediction model integrating AI-ECG and 0h high-sensitivity cardiac troponin T for immediate rule-out of acute myocardial infarction

Early triage of patients presenting to the emergency department (ED) with symptoms suggestive of acute myocardial infarction (AMI) is critical to reduce overcrowding and enable timely treatment. While the current European Society of Cardiology (ESC) 0/1-hour algorithm represents the standard of care, it requires...

T. Tsao, M. Lee, Y. Jo et al. · 0 citations
Open access Oct 2026

Impact of intra-patient variability of artificial intelligence and machine learning models on the diagnosis of myocardial infarction

Current artificial intelligence (AI) and machine learning (ML) prediction models for myocardial infarction (MI) use a single 10s ECG. Whether model performance changes across serial ECGs or longer recordings is poorly understood. We aimed to investigate the impact of intra-patient variability on model prediction...

W. Zeng, I. Strebel, P. López-Ayala et al. · 0 citations

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