Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.

Journal: JAMA network open
Published Date: Mar 1, 2023

Abstract

IMPORTANCE: Neuroimaging-based artificial intelligence (AI) diagnostic models have proliferated in psychiatry. However, their clinical applicability and reporting quality (ie, feasibility) for clinical practice have not been systematically evaluated.

Authors

  • Zhiyi Chen
    School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, Zhejiang Province, China.
  • Xuerong Liu
    School of Psychology, Third Military Medical University, Chongqing, China.
  • Qingwu Yang
    Department of Neurology, Daping Hospital, Third Military Medical University, Chongqing, China.
  • Yan-Jiang Wang
    Department of Neurology, Daping Hospital, Third Military Medical University, Chongqing, China.
  • Kuan Miao
    School of Psychology, Third Military Medical University, Chongqing, China.
  • Zheng Gong
    Sino-Cellbiomed Institutes of Medical Cell & Pharmaceutical Proteins Qingdao University, Qingdao, Shandong, China. xblong2000@gmail.com.
  • Yang Yu
    Division of Cardiology, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Artemiy Leonov
    Department of Psychology, Clark University, Worcester, Massachusetts.
  • Chunlei Liu
    Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
  • Zhengzhi Feng
    School of Psychology, Third Military Medical University, Chongqing, China.
  • Hu Chuan-Peng
    School of Psychology, Nanjing Normal University, Nanjing, China.

Keywords

External Resources

Popular Topics
Recent Journals