Artificial Intelligence Treatment Decision Support For Complex Breast Cancer Among Oncologists With Varying Expertise.

Journal: JCO clinical cancer informatics
PMID:

Abstract

PURPOSE: The aim of the current study was to assess treatment concordance and adherence to National Comprehensive Cancer Network breast cancer treatment guidelines between oncologists and an artificial intelligence advisory tool.

Authors

  • Fengrui Xu
    Academy of Military Medical Sciences, Beijing, People's Republic of China.
  • Martín-José Sepúlveda
    IBM Research, Yorktown Heights, NY.
  • Zefei Jiang
    The Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China.
  • Haibo Wang
    Institute of Cardiovascular Diseases, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, PR China.
  • Jianbin Li
    Medical Molecular Biology, Beijing Institute of Biotechnology, Beijing, People's Republic of China.
  • Yongmei Yin
    Jiangsu Province Hospital, Nanjing, People's Republic of China.
  • Zhenzhen Liu
    Department of Functional Science, School of Medicine, Yangtze University, No.1 Nanhuan Road, Jingzhou City 434100, China.
  • M Christopher Roebuck
    RxEconomics, Hunt Valley, MD.
  • Edward H Shortliffe
    Department of Biomedical Informatics, Columbia University.
  • Min Yan
    Henan Cancer Hospital, Zhengzhou, People's Republic of China.
  • Yuhua Song
    The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China.
  • Cuizhi Geng
    Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
  • Jinhai Tang
    Jiangsu Province Hospital, Nanjing, People's Republic of China.
  • Kyu Rhee
    6 IBM Corporation, Watson Health, Cambridge, Massachusetts.