J Korean Med Sci.  2020 Nov;35(42):e379. 10.3346/jkms.2020.35.e379.

Artificial Intelligence in Health Care: Current Applications and Issues

Affiliations
  • 1Department of Orthopedic Surgery, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea
  • 2Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea
  • 3Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
  • 4Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
  • 5Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
  • 6Division of Gastroenterology, Department of Medicine, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea
  • 7Department of R&D Planning, Korea Health Industry Development Institute (KHIDI), Cheongju, Korea
  • 8Health Innovation Big Data Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Korea
  • 9Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
  • 10Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
  • 11Protocol Engineering Center, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea
  • 12Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
  • 13Division of Geriatrics, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
  • 14VUNO Inc., Seoul, Korea
  • 15Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
  • 16Lunit Inc., Seoul, Korea
  • 17Big Data Research Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea
  • 18Digital Healthcare Partners, Seoul, Korea
  • 19Center for Bionics, Korea Institute of Science and Technology (KIST), Seoul, Korea
  • 20Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea

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.

Keyword

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