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Artificial Intelligence in Health Care: Current Applications and Issues.
Park, Chan Woo; Seo, Sung Wook; Kang, Noeul; Ko, BeomSeok; Choi, Byung Wook; Park, Chang Min; Chang, Dong Kyung; Kim, Hwiyoung; Kim, Hyunchul; Lee, Hyunna; Jang, Jinhee; Ye, Jong Chul; Jeon, Jong Hong; Seo, Joon Beom; Kim, Kwang Joon; Jung, Kyu Hwan; Kim, Namkug; Paek, Seungwook; Shin, Soo Yong; Yoo, Soyoung; Choi, Yoon Sup; Kim, Youngjun; Yoon, Hyung Jin.
Afiliação
  • Park CW; Department of Orthopedic Surgery, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
  • Seo SW; Department of Orthopedic Surgery, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
  • Kang N; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
  • Ko B; Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Choi BW; Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Park CM; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Chang DK; Division of Gastroenterology, Department of Medicine, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
  • Kim H; Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Kim H; Department of R&D Planning, Korea Health Industry Development Institute (KHIDI), Cheongju, Korea.
  • Lee H; Health Innovation Big Data Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Korea.
  • Jang J; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Ye JC; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea.
  • Jeon JH; Protocol Engineering Center, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea.
  • Seo JB; Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim KJ; Division of Geriatrics, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Jung KH; VUNO Inc., Seoul, Korea.
  • Kim N; Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Paek S; Lunit Inc., Seoul, Korea.
  • Shin SY; Big Data Research Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
  • Yoo S; Health Innovation Big Data Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Korea.
  • Choi YS; Digital Healthcare Partners, Seoul, Korea.
  • Kim Y; Center for Bionics, Korea Institute of Science and Technology (KIST), Seoul, Korea.
  • Yoon HJ; Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea. hjyoon@snu.ac.kr.
J Korean Med Sci ; 35(42): e379, 2020 11 02.
Article em En | MEDLINE | ID: mdl-33140591
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Atenção à Saúde Limite: Humans Idioma: En Revista: J Korean Med Sci Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Atenção à Saúde Limite: Humans Idioma: En Revista: J Korean Med Sci Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article