Artificial Intelligence in Health Care: Current Applications and Issues.

Journal: Journal of Korean medical science
Published Date: Nov 2, 2020

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.

Authors

  • Chan Woo Park
    Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cheil General Hospital and Women's Healthcare Center, Dankook University College of Medicine, Seoul, Korea.
  • Sung Wook Seo
    3 Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Noeul Kang
    Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
  • BeomSeok Ko
    Division of Breast Surgery, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine.
  • Byung Wook Choi
    Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Chang Min Park
    Department of Radiology, Seoul National College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (H.C., S.H.Y., S.J.P., C.M.P., J.H.L., H. Kim, E.J.H., S.J.Y., J.G.N., C.H.L., J.M.G.); CHESS Center, The First Hospital of Lanzhou University, Lanzhou, China (Q.X., J.L.); Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (K.H.L.); Department of Internal Medicine, Incheon Medical Center, Incheon, Korea (J.Y.K.); Department of Radiology, Seoul Medical Center, Seoul, Korea (Y.K.L.); Department of Radiology, National Medical Center, Seoul, Korea (H. Ko); Department of Radiology, Myongji Hospital, Gyeonggi-do, Korea (K.H.K.); and Department of Radiology, Chonnam National University Hospital, Gwanju, Korea (Y.H.K.).
  • Dong Kyung Chang
    Division of Gastroenterology, Department of Medicine, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
  • Hwiyoung Kim
    Department of Radiological Science, Yonsei University College of Medicine, Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea. Electronic address: HYKIM82@yuhs.ac.
  • Hyunchul Kim
    Department of R&D Planning, Korea Health Industry Development Institute (KHIDI), Cheongju, Korea.
  • Hyunna Lee
    Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea.
  • Jinhee Jang
    GenesisEgo, Seoul, Republic of Korea.
  • Jong Chul Ye
  • Jong Hong Jeon
    Protocol Engineering Center, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea.
  • Joon Beom Seo
    Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea.
  • Kwang Joon Kim
    Division of Geriatrics, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Kyu Hwan Jung
    VUNO Inc., Seoul, Korea.
  • Namkug Kim
    Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Seungwook Paek
    Lunit Inc., Seoul, Korea.
  • Soo Yong Shin
    Big Data Research Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
  • Soyoung Yoo
    Health Innovation Big Data Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Korea.
  • Yoon Sup Choi
    Digital Healthcare Partners, Seoul, Korea.
  • Youngjun Kim
  • Hyung Jin Yoon
    Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea. hjyoon@snu.ac.kr.

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