Deep learning-based automated quantification system for abdominal aortic calcification: multicenter cohort study for algorithm development and clinical validation
The established automated quantification system for AAC exhibits good assessment efficiency and measurement accuracy, offering a standardized approach to refine cardiovascular risk stratification in clinical practice.
Authors
- Li‐Song Chen (ORCID: https://orcid.org/0000-0001-8425-1306)
- Aie Liu
- Gu Chaochao
- Aijing Li (ORCID: https://orcid.org/0000-0002-1515-0330)
- Zewei Shao (ORCID: https://orcid.org/0000-0002-6125-275X)
- Enhui Xin
- Yuning Pan (ORCID: https://orcid.org/0009-0009-5361-566X)
Institutions
- Ningbo University (CN)
- Ningbo No. 2 Hospital (CN)
- United Imaging Healthcare (China) (CN)
- Cixian People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-10-21
- DOI
- https://doi.org/10.3389/fcvm.2025.1647882
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00