Application of Artificial Intelligence in Healthcare

  • Janya Chanchaichujit
  • Albert Tan
  • Fanwen Meng
  • Sarayoot Eaimkhong


This chapter presents the role and significance of Artificial Intelligence, commonly known as AI, in the control and management of Tuberculosis (TB). The complexity of the disease and problems in TB diagnosis are introduced. Following this, initiatives and opportunities for using AI in TB diagnosis in Thailand are shown as a case study. The chapter concludes by discussing the current limitations of AI improvement, alternative models and key success factors in the implementation of AI in TB.


Artificial Intelligence (AI) Tuberculosis Neuro Learning Deep Learning Innovation management Chest X-ray 



The authors would like to express their sincere gratitude to Dr Krit Pongpirul for his generous support and time in sharing his knowledge and information about the use of AI in his work in this chapter and Mr. Sinarta Wirawan, Dr. Albert Tan’s student at Curtin University, Singapore in conducting a literature review for this chapter.


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Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Janya Chanchaichujit
    • 1
  • Albert Tan
    • 2
  • Fanwen Meng
    • 3
  • Sarayoot Eaimkhong
    • 4
  1. 1.School of ManagementWalailak UniversityThasalaThailand
  2. 2.Malaysia Institute for Supply Chain InnovationShah AlamMalaysia
  3. 3.Department of Health Services & Outcomes ResearchNational Healthcare GroupSingaporeSingapore
  4. 4.National Science and Technology Development AgencyPathum ThaniThailand

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