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논문 기본 정보

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저자정보
박찬우 (삼성서울병원) 서성욱 (Department of Orthopedic Surgery Samsung Medical Center School of Medicine Sungkyunkwan University) Kang Noeul (Division of Pulmonary and Critical Care Medicine Department of Medicine Samsung Medical Center Scho) Ko BeomSeok (Department of Surgery Asan Medical Center University of Ulsan College of Medicine Seoul Korea.) Choi Byung Wook (Department of Radiology Severance Hospital Yonsei University College of Medicine Seoul Korea.) Park ChangMin (Department of Radiology Seoul National University College of Medicine Seoul Korea.) Chang Dong Kyung (Division of Gastroenterology Department of Medicine Samsung Medical Center School of Medicine Sungk) Kim Hwiuoung (Department of Radiology Severance Hospital Yonsei University College of Medicine Seoul Korea.) Kim Hyunchul (Department of R&D Planning Korea Health Industry Development Institute (KHIDI) Cheongju Korea.) 이현나 (서울아산병원) Jang Jinhee (Department of Radiology Seoul St. Mary's Hospital College of Medicine The Catholic University of Ko) Ye Jong Chul (Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology (KAIST)) Jeon Jong Hong (Protocol Engineering Center Electronics and Telecommunications Research Institute (ETRI) Daejeon Ko) Seo Joon Beom (Department of Radiology Asan Medical Center University of Ulsan College of Medicine Seoul Korea.) Kim Kwang Joon (Division of Geriatrics Department of Internal Medicine Severance Hospital Yonsei University College) Jung Kyu-Hwan (VUNO Inc. Seoul Korea.) Kim Namkug (Department of Convergence Medicine Asan Medical Center University of Ulsan College of Medicine Seou) Paek Seungwook (Lunit Inc. Seoul Korea.) Shin Soo-Yong (Big Data Research Center Samsung Medical Center School of Medicine Sungkyunkwan University Seoul Ko) Yoo Soyoung (Health Innovation Big Data Center Asan Institute for Life Science Asan Medical Center Seoul Korea.) Choi Yoon Sup (Digital Healthcare Partners Seoul Korea.) Kim Youngjun (Environmental Safety Group Korea Institute of Science and Technology (KIST) Seoul Korea.) 윤형진 (서울대학교)
저널정보
대한의학회 Journal of Korean Medical Science Journal of Korean Medical Science Vol.35 No.42
발행연도
2020.1
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1 - 11 (11page)

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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.
#Artificial Intelligence #Machine Learning #Health Care #Application #Issue

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참고문헌 (63)

참고문헌 신청
Rajkomar A / 2019 / Machine learning in medicine / N Engl J Med 380(14):1347~1358 google schola Shimizu H / 2020 / Artificial intelligence in oncology / Cancer Sci 111(5):1452~1460 google schola Obermeyer Z / 2016 / Predicting the future-big data, machine learning, and clinical medicine / N Engl J Med 375(13):1216~1219 google schola Jiang F / 2017 / Artificial intelligence in healthcare : past, present and future / Stroke Vasc Neurol 2(4):230~243 google schola Cruz JA / 2007 / Applications of machine learning in cancer prediction and prognosis / Cancer Inform 2:59~77 google schola

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