Precision TAVR quantification— AI-accelerated TAVR planning reduces assessment time by 80% in bicuspid aortic stenosis
W. W. L. Li, H J Zhang, Yingqiang Guo, Alejandro Federico Frangi et al.
Journal
European Heart Journal - Imaging Methods and Practice
Topics
Cardiac Valve Diseases and Treatments
article
Precision TAVR quantification— AI-accelerated TAVR planning reduces assessment time by 80% in bicuspid aortic stenosis
W. W. L. Li, H J Zhang, Yingqiang Guo, Alejandro Federico Frangi, J Q Zhang, F. Chen, Y. Mao, Yue Wang, MengEn Zhai, Yidan Xue, Xinglong Dong, J. Liu, Hongxin Li, Xiaodong Wang, Gejun Zhang, Yongjian Wu, Yining Yang, Yang Liu, Ping Jin, Jian Yang
article en
Abstract
No abstract available for this paper.
Publication Tag
European Heart Journal - Imaging Methods and PracticeVol. 3(4)
Institutions
Xinjiang Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Sichuan University (CN), Fudan University (CN), Manchester Academic Health Science Centre (GB), First Affiliated Hospital of Xinjiang Medical University (CN), University of Manchester (GB), Suzhou University of Science and Technology (CN), Sichuan Agricultural University (CN), Shanghai Institute for Science of Science (CN), West China Hospital of Sichuan University (CN), Xi'an Medical University (CN), Beijing Anzhen Hospital (CN), Suzhou Institute of Systems Medicine (CN), Shandong Provincial QianFoShan Hospital (CN), Guangdong Provincial People's Hospital (CN), Xijing Hospital (CN), NIHR Manchester Biomedical Research Centre (GB), Fu Wai Hospital (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN), Xi'an Jiaotong University (CN), KU Leuven (BE)
Funders
UK Research and Innovation, National Institute for Health and Care Research, British Heart Foundation, Royal Academy of Engineering, Yakult Bio-Science Foundation, Manchester Biomedical Research Centre