Development and validation of a multimodal machine learning model integrating ultrasound imaging and serum biomarkers for vulnerable carotid plaque prediction
The above radiomics model can be used to predict the vulnerable carotid plaque before surgery. By combining plaque ultrasound imaging with clinical blood biomarkers, a more comprehensive and accurate assessment of plaque vulnerability can be achieved, thereby reducing the risk of cardiovascular events.
Authors
- Yanhong Yan (ORCID: https://orcid.org/0000-0003-2974-6300)
- Pinjing Hui
- Wei Chen (ORCID: https://orcid.org/0000-0001-9550-0523)
- Yuanyuan Yang (ORCID: https://orcid.org/0000-0001-9550-1892)
- Ping Wei
Institutions
- Xuzhou Medical College (CN)
- Fudan University (CN)
- Soochow University (CN)
- Huaian First People’s Hospital (CN)
- Minhang District Central Hospital (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- SLAS TECHNOLOGY
- Published
- 2025-10-30
- DOI
- https://doi.org/10.1016/j.slast.2025.100361
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00