Cargando…

인공지능 의료윤리: 영상의학 영상데이터 활용 관점의 고찰

The importance of ethics in research and the use of artificial intelligence (AI) is increasingly recognized not only in the field of healthcare but throughout society. This article intends to provide domestic readers with practical points regarding the ethical issues of using radiological images for...

Descripción completa

Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514581/
https://www.ncbi.nlm.nih.gov/pubmed/36238915
http://dx.doi.org/10.3348/jksr.2022.0036
_version_ 1784798308600905728
collection PubMed
description The importance of ethics in research and the use of artificial intelligence (AI) is increasingly recognized not only in the field of healthcare but throughout society. This article intends to provide domestic readers with practical points regarding the ethical issues of using radiological images for AI research, focusing on data security and privacy protection and the right to data. Therefore, this article refers to related domestic laws and government policies. Data security and privacy protection is a key ethical principle for AI, in which proper de-identification of data is crucial. Sharing healthcare data to develop AI in a way that minimizes business interests is another ethical point to be highlighted. The need for data sharing makes the data security and privacy protection even more important as data sharing increases the risk of data breach.
format Online
Article
Text
id pubmed-9514581
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher The Korean Society of Radiology
record_format MEDLINE/PubMed
spelling pubmed-95145812022-10-12 인공지능 의료윤리: 영상의학 영상데이터 활용 관점의 고찰 J Korean Soc Radiol Medical Ethics The importance of ethics in research and the use of artificial intelligence (AI) is increasingly recognized not only in the field of healthcare but throughout society. This article intends to provide domestic readers with practical points regarding the ethical issues of using radiological images for AI research, focusing on data security and privacy protection and the right to data. Therefore, this article refers to related domestic laws and government policies. Data security and privacy protection is a key ethical principle for AI, in which proper de-identification of data is crucial. Sharing healthcare data to develop AI in a way that minimizes business interests is another ethical point to be highlighted. The need for data sharing makes the data security and privacy protection even more important as data sharing increases the risk of data breach. The Korean Society of Radiology 2022-07 2022-06-22 /pmc/articles/PMC9514581/ /pubmed/36238915 http://dx.doi.org/10.3348/jksr.2022.0036 Text en Copyrights © 2022 The Korean Society of Radiology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Medical Ethics
인공지능 의료윤리: 영상의학 영상데이터 활용 관점의 고찰
title 인공지능 의료윤리: 영상의학 영상데이터 활용 관점의 고찰
title_full 인공지능 의료윤리: 영상의학 영상데이터 활용 관점의 고찰
title_fullStr 인공지능 의료윤리: 영상의학 영상데이터 활용 관점의 고찰
title_full_unstemmed 인공지능 의료윤리: 영상의학 영상데이터 활용 관점의 고찰
title_short 인공지능 의료윤리: 영상의학 영상데이터 활용 관점의 고찰
title_sort 인공지능 의료윤리: 영상의학 영상데이터 활용 관점의 고찰
topic Medical Ethics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514581/
https://www.ncbi.nlm.nih.gov/pubmed/36238915
http://dx.doi.org/10.3348/jksr.2022.0036
work_keys_str_mv AT ingongjineunguilyoyunliyeongsanguihagyeongsangdeiteohwalyonggwanjeomuigochal