{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1363388843936726784.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1148/radiol.2019192515"}},{"identifier":{"@type":"URI","@value":"http://pubs.rsna.org/doi/pdf/10.1148/radiol.2019192515"}}],"dc:title":[{"@value":"Assessing Radiology Research on Artificial Intelligence: A Brief                    Guide for Authors, Reviewers, and Readers—From the                        <i>Radiology</i> Editorial Board"}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1383388843936726792","@type":"Researcher","foaf:name":[{"@value":"David A. Bluemke"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388843936726790","@type":"Researcher","foaf:name":[{"@value":"Linda Moy"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388843936726786","@type":"Researcher","foaf:name":[{"@value":"Miriam A. Bredella"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388843936726793","@type":"Researcher","foaf:name":[{"@value":"Birgit B. Ertl-Wagner"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388843936726784","@type":"Researcher","foaf:name":[{"@value":"Kathryn J. Fowler"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388843936726788","@type":"Researcher","foaf:name":[{"@value":"Vicky J. Goh"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388843936726787","@type":"Researcher","foaf:name":[{"@value":"Elkan F. Halpern"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388843936726791","@type":"Researcher","foaf:name":[{"@value":"Christopher P. Hess"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388843936726789","@type":"Researcher","foaf:name":[{"@value":"Mark L. Schiebler"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388843936726785","@type":"Researcher","foaf:name":[{"@value":"Clifford R. Weiss"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00338419"},{"@type":"EISSN","@value":"15271315"}],"prism:publicationName":[{"@value":"Radiology"}],"dc:publisher":[{"@value":"Radiological Society of North America (RSNA)"}],"prism:publicationDate":"2020-03","prism:volume":"294","prism:number":"3","prism:startingPage":"487","prism:endingPage":"489"},"reviewed":"false","url":[{"@id":"http://pubs.rsna.org/doi/pdf/10.1148/radiol.2019192515"}],"createdAt":"2019-12-31","modifiedAt":"2020-02-18","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050021381807675776","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study"}]},{"@id":"https://cir.nii.ac.jp/crid/1050302856784387712","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1360016863191066112","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Fairness of artificial intelligence in healthcare: review and recommendations"}]},{"@id":"https://cir.nii.ac.jp/crid/1360300771027676288","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Data set terminology of deep learning in medicine: a historical review and recommendation"}]},{"@id":"https://cir.nii.ac.jp/crid/1360306498886066688","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Machine learning pipeline for automated segmentation and classification of complicated cystic renal masses on MRI: comparison with radiologists’ assessments"}]},{"@id":"https://cir.nii.ac.jp/crid/1360580230612474880","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Clinical applications of artificial intelligence in liver imaging"}]},{"@id":"https://cir.nii.ac.jp/crid/1360857593743716992","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Current applications and development of artificial intelligence for digital dental radiography"}]},{"@id":"https://cir.nii.ac.jp/crid/1360863417634413184","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Effectiveness of tuning an artificial intelligence algorithm for cerebral aneurysm diagnosis: a study of 10,000 consecutive cases"}]},{"@id":"https://cir.nii.ac.jp/crid/1361134273567586432","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Performance changes due to differences in training data for cerebral aneurysm detection in head MR angiography images"}]},{"@id":"https://cir.nii.ac.jp/crid/1362825894967885184","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Age estimates from brain magnetic resonance images of children younger than two years of age using deep learning"}]},{"@id":"https://cir.nii.ac.jp/crid/1390573242454834560","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Texture Analysis in Brain Tumor MR Imaging"}]},{"@id":"https://cir.nii.ac.jp/crid/1390851883592114944","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Computer-Aided Diagnosis of Medical Images in the Deep Learning Era"},{"@language":"ja","@value":"ディープラーニング時代における医用画像のコンピュータ支援診断"},{"@language":"ja-Kana","@value":"ディープラーニング ジダイ ニ オケル イヨウ ガゾウ ノ コンピュータ シエン シンダン"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1148/radiol.2019192515"},{"@type":"CROSSREF","@value":"10.1016/j.mri.2021.03.004_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.1007/s11604-023-01474-3_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.1016/s2589-7500(23)00107-3_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.1007/s11604-024-01608-1_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.1038/s41598-023-43418-x_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.1007/s11604-025-01912-4_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.2493/jjspe.87.671_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.1007/s11547-023-01638-1_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.2463/mrms.rev.2020-0159_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.1259/dmfr.20210197_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.1016/s2666-7568(23)00133-2_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"},{"@type":"CROSSREF","@value":"10.1007/s11604-021-01153-1_references_DOI_30tIjkwJj76HVhxUuXPdVzYdlzQ"}]}