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What should medical students know about artificial intelligence in medicine?

DC Field Value Language
dc.contributor.author김성원-
dc.date.accessioned2020-02-11T06:41:40Z-
dc.date.available2020-02-11T06:41:40Z-
dc.date.issued2019-
dc.identifier.issn1975-5937-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/174792-
dc.description.abstractArtificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical professionals should be able to resolve any anxiety, confusion, and questions that patients and the public may have. Also, they are responsible for ensuring that AI becomes a technology beneficial for patient care. These make the acquisition of sound knowledge and experience about AI a task of high importance for medical students. Preparing for AI does not merely mean learning information technology such as computer programming. One should acquire sufficient knowledge of basic and clinical medicines, data science, biostatistics, and evidence-based medicine. As a medical student, one should not passively accept stories related to AI in medicine in the media and on the Internet. Medical students should try to develop abilities to distinguish correct information from hype and spin and even capabilities to create thoroughly validated, trustworthy information for patients and the public.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherNational Health Personnel Licensing Examination Board of the Republic of Korea-
dc.relation.isPartOfJournal of Educational Evaluation for Health Professions (보건의료교육평가)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAlgorithms-
dc.subject.MESHArtificial Intelligence/trends*-
dc.subject.MESHBiostatistics-
dc.subject.MESHDiffusion of Innovation-
dc.subject.MESHEducation, Medical-
dc.subject.MESHEvidence-Based Medicine*-
dc.subject.MESHHumans-
dc.subject.MESHMachine Learning/trends*-
dc.subject.MESHStudents, Medical*-
dc.titleWhat should medical students know about artificial intelligence in medicine?-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorSeong Ho Park-
dc.contributor.googleauthorKyung-Hyun Do-
dc.contributor.googleauthorSungwon Kim-
dc.contributor.googleauthorJoo Hyun Park-
dc.contributor.googleauthorYoung-Suk Lim-
dc.identifier.doi10.3352/jeehp.2019.16.18-
dc.contributor.localIdA05309-
dc.relation.journalcodeJ01384-
dc.identifier.pmid31319450-
dc.subject.keywordArtificial intelligence-
dc.subject.keywordDeep learning-
dc.subject.keywordMachine learning-
dc.subject.keywordMedical students-
dc.contributor.alternativeNameKim, Sungwon-
dc.contributor.affiliatedAuthor김성원-
dc.citation.volume16-
dc.citation.startPage18-
dc.identifier.bibliographicCitationJournal of Educational Evaluation for Health Professions (보건의료교육평가), Vol.16 : 18, 2019-
dc.identifier.rimsid64060-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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