Predictive computational framework to provide a digital twin for personalized cardiovascular medicine
The proposed VCI technique achieves non-invasive pre-procedural anatomical and physiological assessment of coronary intervention. The proposed model has the potential to optimize PCI pre-procedural planning and improve the safety and efficiency of PCI.
Authors
- Xifu Wang (ORCID: https://orcid.org/0000-0001-5225-8140)
- Qiaoqiao Li (ORCID: https://orcid.org/0000-0001-9710-7135)
- Ryo Torii (ORCID: https://orcid.org/0000-0001-9479-8719)
- Ce Liang (ORCID: https://orcid.org/0000-0002-6789-1501)
- Mengzhe Lyu
- Duanduan Chen (ORCID: https://orcid.org/0000-0002-5706-4369)
- Yiannis Ventikos (ORCID: https://orcid.org/0000-0002-8589-8117)
- Xuehuan Zhang
Institutions
- Beijing Institute of Technology (CN)
- University of International Business and Economics (CN)
- Beijing Anzhen Hospital (CN)
- The London College (GB)
- Siemens Healthcare (United States) (US)
- University College London (GB)
- Monash University (AU)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1038/s43856-025-01055-7
- Citations
- 2
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 4.01
Funders
- National Natural Science Foundation of China
- Siemens Healthineers