RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      의료분야에서 인공지능(AI) 활용과 법적 논점 = The Use Of Artificial Intelligence(AI) In The Medical Field And Legal Issues

      한글로보기

      https://www.riss.kr/link?id=A108536214

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      With the advent of deep learning, which learns on its own and sets new judgment standards, the medical field will grow rapidly as a vast amount of data is integratedly used, interpreted, and learned by artificial intelligence (AI). In particular, surgical support robots will integrate various image data and provide optimal treatment methods to patients based on information on electronic medical records. Furthermore, genome maps will be interpreted to predict the occurrence of diseases through combination with clinical information, and patient data will be monitored to prevent serious diseases according to the patient's medical risk and to respond appropriately to emergency situations. Therefore, the use of artificial intelligence (AI) in the medical field is very beneficial to doctors and patients.
      However, the following legal issues may arise. First of all, diagnosing using artificial intelligence (AI) may cause problems with the patient's right to self-determination or diagnosis and administration of the patient's disease on the premise of the doctor's duty to explain. Third, surgical robots pose a risk of life infringement, so there is also a problem with the doctor's duty of care using them, and finally, to what extent secondary or accidental findings should be provided to patients in the interpretation and management of genetic information by artificial intelligence (AI). This paper reviewed legal issues on these issues.
      번역하기

      With the advent of deep learning, which learns on its own and sets new judgment standards, the medical field will grow rapidly as a vast amount of data is integratedly used, interpreted, and learned by artificial intelligence (AI). In particular, surg...

      With the advent of deep learning, which learns on its own and sets new judgment standards, the medical field will grow rapidly as a vast amount of data is integratedly used, interpreted, and learned by artificial intelligence (AI). In particular, surgical support robots will integrate various image data and provide optimal treatment methods to patients based on information on electronic medical records. Furthermore, genome maps will be interpreted to predict the occurrence of diseases through combination with clinical information, and patient data will be monitored to prevent serious diseases according to the patient's medical risk and to respond appropriately to emergency situations. Therefore, the use of artificial intelligence (AI) in the medical field is very beneficial to doctors and patients.
      However, the following legal issues may arise. First of all, diagnosing using artificial intelligence (AI) may cause problems with the patient's right to self-determination or diagnosis and administration of the patient's disease on the premise of the doctor's duty to explain. Third, surgical robots pose a risk of life infringement, so there is also a problem with the doctor's duty of care using them, and finally, to what extent secondary or accidental findings should be provided to patients in the interpretation and management of genetic information by artificial intelligence (AI). This paper reviewed legal issues on these issues.

      더보기

      동일학술지(권/호) 다른 논문

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼