Your browser doesn't support javascript.
loading
Artificial intelligence: The future for multimodality imaging of right ventricle.
Qin, Yuhan; Qin, Xiaohan; Zhang, Jing; Guo, Xiaoxiao.
Affiliation
  • Qin Y; Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Qin X; Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Zhang J; Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Guo X; Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China. Electronic address: xiaoxiaoguopumch@163.com.
Int J Cardiol ; 404: 131970, 2024 Jun 01.
Article in En | MEDLINE | ID: mdl-38490268
ABSTRACT
The crucial pathophysiological and prognostic roles of the right ventricle in various diseases have been well-established. Nonetheless, conventional cardiovascular imaging modalities are frequently associated with intrinsic limitations when evaluating right ventricular (RV) morphology and function. The integration of artificial intelligence (AI) in multimodality imaging presents a promising avenue to circumvent these obstacles, paving the way for future fully automated imaging paradigms. This review aimed to address the current challenges faced by clinicians and researchers in integrating RV imaging and AI technology, to provide a comprehensive overview of the current applications of AI in RV imaging, and to offer insights into future directions, opportunities, and potential challenges in this rapidly advancing field.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Heart Ventricles Limits: Humans Language: En Journal: Int J Cardiol Year: 2024 Document type: Article Affiliation country: China Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Heart Ventricles Limits: Humans Language: En Journal: Int J Cardiol Year: 2024 Document type: Article Affiliation country: China Country of publication: Netherlands