Artificial intelligence electrocardiogram as a novel screening tool to detect and longitudinally monitor high-risk echocardiographic features in hypertrophic cardiomyopathy
The AI-ECG model effectively identified and longitudinally monitored high-risk echocardiographic features and may serve as a powerful community screening tool.
Authors
- Yonghuai Wang (ORCID: https://orcid.org/0000-0002-3543-0890)
- Hongxia Ning (ORCID: https://orcid.org/0000-0001-9739-4912)
- Qi Yu (ORCID: https://orcid.org/0000-0002-2555-3782)
- Yong Feng (ORCID: https://orcid.org/0009-0003-6093-6011)
- G. Li (ORCID: https://orcid.org/0000-0001-7886-0949)
- Fanxin Kong
- Bo Zhang (ORCID: https://orcid.org/0000-0002-0607-6044)
- Chunyan Ma
Institutions
- Dalian Municipal Central Hospital (CN)
- First Hospital of China Medical University (CN)
- China Medical University (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.21037/qims-24-1638
- Citations
- 2
- Primary Topic
- Cardiomyopathy and Myosin Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.78