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Volume 12 Issue 5
Sep.  2021
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Article Navigation >  Medical Journal of Peking Union Medical College Hospital  > 2021  >  12(5): 608-613
LI Yang, WANG Liuping, HUANG Jin, FAN Xiangmin, TIAN Feng. Application of Human-Computer Interaction Technology in Ancillary Diagnosis of Nervous System Diseases: Current Situation and Prospect[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(5): 608-613. doi: 10.12290/xhyxzz.2021-0522
Citation: LI Yang, WANG Liuping, HUANG Jin, FAN Xiangmin, TIAN Feng. Application of Human-Computer Interaction Technology in Ancillary Diagnosis of Nervous System Diseases: Current Situation and Prospect[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(5): 608-613. doi: 10.12290/xhyxzz.2021-0522
shu

Application of Human-Computer Interaction Technology in Ancillary Diagnosis of Nervous System Diseases: Current Situation and Prospect

doi: 10.12290/xhyxzz.2021-0522
  • 1.

    Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China

  • 2.

    State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China

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  • Corresponding author: TIAN Feng  Tel: 86-10-62661572, E-mail: tianfeng@iscas.ac.cn
  • Received Date: 2021-07-09
  • Accepted Date: 2021-08-30
    • Available Online: 2021-09-15
  • Publish Date: 2021-09-30
    Abstract
  • With the development of human-computer interaction, how to use intelligent, natural and efficient methods to promote the development of the medical field has become a hot topic of research. Nervous system diseases have a great impact on the quality of people's daily life. Using the method of human-computer interaction for early warning and ancillary diagnosis of nervous system diseases can reduce discomfort of patients during exams and work intensity of doctors, which is of great significance to both doctors and patients. This paper discusses the application status, existing problems, future development of human-computer interaction in the ancillary diagnosis of nervous system diseases, and how to use computer technology to improve traditional medical diagnosis methods from the perspective of interaction.
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