Artificial intelligence driven plaque characterization and functional assessment from CCTA using OCT-based automation: A prospective study.

Journal: International journal of cardiology
PMID:

Abstract

BACKGROUND: We aimed to develop and validate an Artificial Intelligence (AI) model that leverages CCTA and optical coherence tomography (OCT) images for automated analysis of plaque characteristics and coronary function.

Authors

  • Jincheng Han
    Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; The Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin, China.
  • Zhuozhong Wang
    Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; The Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin, China.
  • Tao Chen
    School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China.
  • Shengliang Liu
    Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; The Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin, China.
  • Jinfeng Tan
    First Affiliated Hospital, Sun Yat-sen University.
  • Yanli Sun
    The First Affiliated Hospital of Chongqing Medical University Health Management Center, Chongqing, 400016, China.
  • Linxing Feng
    Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; The Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin, China.
  • Donghui Zhang
    Department of Pathology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
  • Lijia Ma
  • Huimin Liu
    Department of Cardiology, The Key Laboratory of Myocardial Ischemia Chinese Ministry of Education Harbin, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, People's Republic of China.
  • Hui Tao
    Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
  • Chengmei Jin
    Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; The Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin, China.
  • Chao Fang
    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, Missouri.
  • Huai Yu
    Department of Cardiology, The Key Laboratory of Myocardial Ischemia Chinese Ministry of Education Harbin, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, People's Republic of China.
  • Ming Zeng
    School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China.
  • Haibo Jia
    Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Bo Yu
    Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.