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How to Determine If One Diagnostic Method, Such as an Artificial Intelligence Model, is Superior to Another: Beyond Performance Metrics

DC Field Value Language
dc.contributor.author한경화-
dc.date.accessioned2024-03-22T06:00:00Z-
dc.date.available2024-03-22T06:00:00Z-
dc.date.issued2023-07-
dc.identifier.issn1229-6929-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/198325-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherKorean Society of Radiology-
dc.relation.isPartOfKOREAN JOURNAL OF RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAlgorithms-
dc.subject.MESHArtificial Intelligence*-
dc.subject.MESHBenchmarking*-
dc.subject.MESHHumans-
dc.subject.MESHNeural Networks, Computer-
dc.titleHow to Determine If One Diagnostic Method, Such as an Artificial Intelligence Model, is Superior to Another: Beyond Performance Metrics-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorSeong Ho Park-
dc.contributor.googleauthorAh-Ram Sul-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorYu Sub Sung-
dc.identifier.doi10.3348/kjr.2023.0448-
dc.contributor.localIdA04267-
dc.relation.journalcodeJ02884-
dc.identifier.eissn2005-8330-
dc.identifier.pmid37404103-
dc.subject.keywordAccuracy-
dc.subject.keywordArtificial intelligence-
dc.subject.keywordConversion-
dc.subject.keywordDiagnosis-
dc.subject.keywordEquation-
dc.subject.keywordModel-
dc.subject.keywordOutcome-
dc.subject.keywordPerformance-
dc.contributor.alternativeNameHan, Kyung Hwa-
dc.contributor.affiliatedAuthor한경화-
dc.citation.volume24-
dc.citation.number7-
dc.citation.startPage601-
dc.citation.endPage605-
dc.identifier.bibliographicCitationKOREAN JOURNAL OF RADIOLOGY, Vol.24(7) : 601-605, 2023-07-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
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