Multimodal Transformer–Based Electrocardiogram Analysis for Cardiovascular Comorbidity Detection: Model Development and Validation Study
CaMPNet demonstrates robust and interpretable multimodal ECG-based diagnosis, offering a scalable framework for comorbidity screening and continual learning under real-world temporal dynamics.
Authors
- Xueqian Ding
- Qi Guang
- Ming Bai (ORCID: https://orcid.org/0000-0003-1852-2336)
- Yunpeng Xu (ORCID: https://orcid.org/0000-0002-8365-9825)
- Xiaojuan Wang
- Hao Liu (ORCID: https://orcid.org/0000-0003-0510-6501)
- Jing Zhao (ORCID: https://orcid.org/0000-0001-8602-2371)
- Jianlin Wang (ORCID: https://orcid.org/0000-0002-1878-1736)
- Zi Yang (ORCID: https://orcid.org/0000-0003-2653-7757)
Institutions
- First Hospital of Lanzhou University (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-12-02
- DOI
- https://doi.org/10.2196/80815
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00