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Artificial Intelligence in Health Care: Current Applications and Issues

  • Chan Woo Park
  • , Sung Wook Seo
  • , Noeul Kang
  • , Beom Seok Ko
  • , Byung Wook Choi
  • , Chang Min Park
  • , Dong Kyung Chang
  • , Hwiuoung Kim
  • , Hyunchul Kim
  • , Hyunna Lee
  • , Jinhee Jang
  • , Jong Chul Ye
  • , Jong Hong Jeon
  • , Joon Beom Seo
  • , Kwang Joon Kim
  • , Kyu Hwan Jung
  • , Namkug Kim
  • , Seungwook Paek
  • , Soo Yong Shin
  • , Soyoung Yoo
  • Yoon Sup Choi, Youngjun Kim, Hyung Jin Yoon
    • Samsung Medical Center, Sungkyunkwan university
    • University of Ulsan
    • Yonsei University
    • Seoul National University
    • Korea Health Industry Development Institute
    • Korea Advanced Institute of Science and Technology
    • Electronics and Telecommunications Research Institute
    • Vuno, Inc.
    • Lunit, Inc.
    • Digital Healthcare Partners
    • Korea Institute of Science and Technology

    Research output: Contribution to journalReview articlepeer-review

    119 Scopus citations

    Abstract

    In recent years, artificial intelligence (AI) technologies have greatly advanced and become a reality in many areas of our daily lives. In the health care field, numerous efforts are being made to implement the AI technology for practical medical treatments. With the rapid developments in machine learning algorithms and improvements in hardware performances, the AI technology is expected to play an important role in effectively analyzing and utilizing extensive amounts of health and medical data. However, the AI technology has various unique characteristics that are different from the existing health care technologies. Subsequently, there are a number of areas that need to be supplemented within the current health care system for the AI to be utilized more effectively and frequently in health care. In addition, the number of medical practitioners and public that accept AI in the health care is still low; moreover, there are various concerns regarding the safety and reliability of AI technology implementations. Therefore, this paper aims to introduce the current research and application status of AI technology in health care and discuss the issues that need to be resolved.

    Original languageEnglish
    Pages (from-to)1-11
    Number of pages11
    JournalWorld Journal of Orthopedics
    Volume35
    Issue number42
    DOIs
    StatePublished - 2 Nov 2020

    Bibliographical note

    Publisher Copyright:
    © 2020. The Korean Academy of Medical Sciences.

    Keywords

    • Application
    • Artificial Intelligence
    • Health Care
    • Issue
    • Machine Learning

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