Multimodal deep learning for acute myocardial infarction detection from 12-lead electrocardiogram: a multi-centre study with cross-hospital validation
This DL model can support accurate and generalizable AMI detection from routine ECGs, with the Conv-BiLSTM-Attn architecture outperforming current benchmark approaches.
Institutions
- Luleå University of Technology (SE)
- Sahlgrenska University Hospital (SE)
- Wallenberg Wood Science Center (SE)
- University of Gothenburg (SE)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1093/ehjdh/ztaf125
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Västra Götalandsregionen
- Knut och Alice Wallenbergs Stiftelse
- Göteborgs Universitet
- Wallenberg Centre for Molecular and Translational Medicine