J Korean Diabetes.  2020 Sep;21(3):126-129. 10.4093/jkd.2020.21.3.126.

Medical Ethics in the Era of Artificial Intelligence Based on Medical Big Data

  • 1Department of Psychiatry, Yeouido St. Mary’s Hospital, The Catholic University of Korea, Seoul, Korea
  • 2Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea
  • 3Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea


When incorporating artificial intelligence (AI) based on medical big data into the clinical and research settings, it is important to consider the associated ethical philosophy in addition to medical behavior. Simply improving the processing speed and increasing the amount of data will not suffice. Instead, it is necessary to continuously provide a direction for AI progress in medical algorithms that are required in order to make use of medical big data. To integrate AI with healthcare research and medical practice, it is essential that AI algorithms are reviewed by experienced medical staff. Additionally, the question regarding which levels of data can or cannot be trusted by medical staff needs to be answered. AI algorithms are best suited to provide assistance (decision-supporting) during the decision-making process. Hence, if more AI algorithms are implemented through such a series of processes, skilled medical personnel can play large roles, and their roles can be subcategorized. Furthermore, based on the medical value of AI, health care providers should have a role in determining the reasonableness and suitability of AI algorithms.


Artificial intelligence; Big data; Medical ethics
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