AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation.

Journal: Journal of medical Internet research
Published Date: Aug 23, 2024

Abstract

BACKGROUND: For medical diagnosis, clinicians typically begin with a patient's chief concerns, followed by questions about symptoms and medical history, physical examinations, and requests for necessary auxiliary examinations to gather comprehensive medical information. This complex medical investigation process has yet to be modeled by existing artificial intelligence (AI) methodologies.

Authors

  • Xuan Zou
    Shenzhen Center for Disease Control and Prevention, Shenzhen, China.
  • Weijie He
    Department of Computer Science and Technology, Tsinghua University, Beijing, China.
  • Yu Huang
    School of Data Science and Software Engineering, Qingdao University, Qingdao 266021, China.
  • Yi Ouyang
    Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China.
  • Zhen Zhang
    School of Pharmacy, Jining Medical University, Rizhao, Shandong, China.
  • Yu Wu
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China.
  • Yongsheng Wu
    Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, NS, B2Y4A2, Canada.
  • Lili Feng
    Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, China.
  • Sheng Wu
    Department of Digital Health and Innovation, Division of the Chief Scientist, World Health Organization, Geneva, Switzerland.
  • Mengqi Yang
    Jining First People's Hospital, Jining Medical University, Jining, China.
  • Xuyan Chen
    Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
  • Yefeng Zheng
  • Rui Jiang
    Department of Urology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
  • Ting Chen
    CAS Key Laboratory of Tropical Marine Bio-resources and Ecology (LMB), Guangdong Provincial Key Laboratory of Applied Marine Biology (LAMB), South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China. chan1010@scsio.ac.cn.

Keywords

External Resources

Popular Topics
Recent Journals