Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study.

Journal: Journal of medical Internet research
Published Date: Nov 1, 2019

Abstract

BACKGROUND: Artificial intelligence (AI)-based technologies develop rapidly and have myriad applications in medicine and health care. However, there is a lack of comprehensive reporting on the productivity, workflow, topics, and research landscape of AI in this field.

Authors

  • Bach Xuan Tran
    Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi 100000, Vietnam. bach.ipmph@gmail.com.
  • Son Nghiem
    Centre for Applied Health Economics, Griffith University, Queensland 4111, Australia.
  • Oz Sahin
    Griffith Climate Change Response Program, Griffith University, Brisbane, Australia.
  • Tuan Manh Vu
    Odonto Stomatology Research Center for Applied Science and Technology, Hanoi Medical University, Hanoi, Vietnam.
  • Giang Hai Ha
    Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam.
  • Giang Thu Vu
    Center of Excellence in Evidence-based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam. giang.coentt@gmail.com.
  • Hai Quang Pham
    Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam.
  • Hoa Thi Do
    Centre of Excellence in Artificial Intelligence in Medicine, Nguyen Tat Thanh University, Ho Chi Minh, Vietnam.
  • Carl A Latkin
    Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA. carl.latkin@jhu.edu.
  • Wilson Tam
    Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Cyrus S H Ho
    Department of Psychological Medicine, National University Hospital, Singapore 119074, Singapore. cyrushosh@gmail.com.
  • Roger C M Ho
    Center of Excellence in Evidence-based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam. pcmrhcm@nus.edu.sg.

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