[Challenges and Prospects of Medical Device Containing Adaptive Algorithms to Supervision].

Journal: Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Published Date:

Abstract

With the market development and demand change, the use of adaptive algorithms in medical devices has become a possible trend. However, some uncertainties in the adaptive algorithm itself will bring challenges to the existing current supervisory work model. This article focuses on the ademptions of US agencies on artificial intelligence device supervision, and discusses the problems that existing pilot policies may encounter when facing devices with adaptive algorithms. In this way, we will provide relevant suggestions and look forward to discussing with scholars.

Authors

  • Kai Hu
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.
  • Hui Yang
    Department of Neurology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, China.
  • Chao Zheng
    School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515 People's Republic of China.
  • Wen Wang
    Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
  • Lin-Rong Ma
    Zhejiang Center for Drug Inspection, Hangzhou, 310000.