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Artificial Intelligence in Health Care: Current Applications and Issues

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dc.contributor.author김광준-
dc.contributor.author최병욱-
dc.date.accessioned2021-05-21T17:09:58Z-
dc.date.available2021-05-21T17:09:58Z-
dc.date.issued2020-11-
dc.identifier.issn1011-8934-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/182740-
dc.description.abstractIn 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.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisher대한의학회(The Korean Academy of Medical Sciences)-
dc.relation.isPartOfJOURNAL OF KOREAN MEDICAL SCIENCE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleArtificial Intelligence in Health Care: Current Applications and Issues-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorChan Woo Park-
dc.contributor.googleauthorSung Wook Seo-
dc.contributor.googleauthorNoeul Kang-
dc.contributor.googleauthorBeomSeok Ko-
dc.contributor.googleauthorByung Wook Choi-
dc.contributor.googleauthorChang Min Park-
dc.contributor.googleauthorDong Kyung Chang-
dc.contributor.googleauthorHwiyoung Kim-
dc.contributor.googleauthorHyunchul Kim-
dc.contributor.googleauthorHyunna Lee-
dc.contributor.googleauthorJinhee Jang-
dc.contributor.googleauthorJong Chul Ye-
dc.contributor.googleauthorJong Hong Jeon-
dc.contributor.googleauthorJoon Beom Seo-
dc.contributor.googleauthorKwang Joon Kim-
dc.contributor.googleauthorKyu Hwan Jung-
dc.contributor.googleauthorNamkug Kim-
dc.contributor.googleauthorSeungwook Paek-
dc.contributor.googleauthorSoo Yong Shin-
dc.contributor.googleauthorSoyoung Yoo-
dc.contributor.googleauthorYoon Sup Choi-
dc.contributor.googleauthorYoungjun Kim-
dc.contributor.googleauthorHyung Jin Yoon-
dc.identifier.doi10.3346/jkms.2020.35.e379-
dc.contributor.localIdA00317-
dc.contributor.localIdA04059-
dc.relation.journalcodeJ01517-
dc.identifier.eissn1598-6357-
dc.identifier.pmid33140591-
dc.subject.keywordApplication-
dc.subject.keywordArtificial Intelligence-
dc.subject.keywordHealth Care-
dc.subject.keywordIssue-
dc.subject.keywordMachine Learning-
dc.contributor.alternativeNameKim, Kwang Joon-
dc.contributor.affiliatedAuthor김광준-
dc.contributor.affiliatedAuthor최병욱-
dc.citation.volume35-
dc.citation.number42-
dc.citation.startPagee379-
dc.identifier.bibliographicCitationJOURNAL OF KOREAN MEDICAL SCIENCE, Vol.35(42) : e379, 2020-11-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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