Differentiation of light chain cardiac amyloidosis and hypertrophic cardiomyopathy by ensemble machine learning-based radiomic analysis of cardiac magnetic resonance
An ensemble ML model with competitive diagnostic accuracy was proposed to differentiate AL-CA from HCM patients and healthy controls.
Authors
- Ming Wu (ORCID: https://orcid.org/0000-0002-8601-7510)
- Zhuang Tian (ORCID: https://orcid.org/0000-0003-1140-4062)
- Shengsheng Zhuang
- Yuanqiang Zhang (ORCID: https://orcid.org/0000-0002-4592-4966)
- Yubo Guo (ORCID: https://orcid.org/0009-0009-7632-2667)
- Jian Li (ORCID: https://orcid.org/0000-0002-4549-0694)
- Yining Wang (ORCID: https://orcid.org/0000-0001-6441-2002)
- Ting Chen (ORCID: https://orcid.org/0000-0003-1725-7956)
- Shuyuan Zhang (ORCID: https://orcid.org/0000-0002-6220-5998)
- Xiao Li (ORCID: https://orcid.org/0000-0003-3715-8904)
- Yuze Gao
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Orphanet Journal of Rare Diseases
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1186/s13023-025-03947-2
- Primary Topic
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chinese Academy of Medical Sciences
- Peking Union Medical College Hospital
- Fundamental Research Funds for the Central Universities