{"created":"2023-07-27T06:51:21.856962+00:00","id":44756,"links":{},"metadata":{"_buckets":{"deposit":"30e794ea-12f9-44ef-a971-bccc1b7af9b6"},"_deposit":{"created_by":18,"id":"44756","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"44756"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00044756","sets":["2812:2813:2816"]},"author_link":["1342","264"],"item_9_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-05-25","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"4p.","bibliographicVolumeNumber":"2015-04-01 - 2018-03-31","bibliographic_titles":[{"bibliographic_title":"平成29(2017)年度 科学研究費補助金 基盤研究(C) 研究成果報告書"},{"bibliographic_title":"2017 Fiscal Year Final Research Report","bibliographic_titleLang":"en"}]}]},"item_9_creator_33":{"attribute_name":"著者別表示","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Nakajima, Ken-ichi"}],"nameIdentifiers":[{"nameIdentifier":"1342","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"0167545","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=0167545"},{"nameIdentifier":"60355047","nameIdentifierScheme":"金沢大学研究者情報","nameIdentifierURI":"http://ridb.kanazawa-u.ac.jp/public/detail.php?kaken=60355047"},{"nameIdentifier":"60355047","nameIdentifierScheme":"研究者番号","nameIdentifierURI":"https://nrid.nii.ac.jp/nrid/1000060355047"}]}]},"item_9_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"虚血性心疾患や心不全の臨床診断は患者の臨床経過に加えて血液情報、画像を含めた諸検査の総合的判断によってなされる。その診断と死亡リスク評価に画像と臨床情報を統合した人工知能あるいは多変量モデルを作成することが目的であった。いずれも多施設の協力により心臓病のデータベースを作成した。心筋血流イメージングについては、その特徴抽出とニューラルネットワークによって、心筋の異常を専門医に匹敵する検出レベルで診断可能となった。また、心不全においては、心臓交感神経イメージング（MIBG）を含む臨床情報の多変量解析により、死亡リスクの推定が可能となった。これらはいずれもソフトウェアとして利用できるように公開した。","subitem_description_type":"Abstract"},{"subitem_description":"Clinical diagnosis of ischemic heart disease and heart failure is based on integrated assessment of clinical course, blood sampling, and imaging. The aim of this study was to create models by artificial intelligence or multivariable statistical analysis. Databases of patients with cardiac diseases were made by multicenter collaboration. With respect to myocardial perfusion imaging, using feature extractions and neural networks, diagnostic accuracy reached a level of expert interpretation. In patients with heart failure, multivariable risk model including 123I-metaiodobenzylguanidine successfully provided risk of cardiac death. Both algorithms were prepared as software for clinical uses.","subitem_description_type":"Abstract"}]},"item_9_description_22":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"研究課題/領域番号:15K09947, 研究期間(年度):2015-04-01 - 2018-03-31","subitem_description_type":"Other"},{"subitem_description":"出典：研究課題「人工知能と心疾患リスクモデルとを統合した次世代型画像診断システムの開発」課題番号15K09947\n（KAKEN：科学研究費助成事業データベース（国立情報学研究所）） \n（https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-15K09947/15K09947seika/）を加工して作成","subitem_description_type":"Other"}]},"item_9_description_5":{"attribute_name":"提供者所属","attribute_value_mlt":[{"subitem_description":"金沢大学医薬保健研究域医学系","subitem_description_type":"Other"}]},"item_9_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24517/00051097","subitem_identifier_reg_type":"JaLC"}]},"item_9_relation_28":{"attribute_name":"関連URI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://kaken.nii.ac.jp/search/?qm=00167545"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://kaken.nii.ac.jp/search/?qm=00167545","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15K09947/"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15K09947/","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-15K09947/15K09947seika/"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-15K09947/15K09947seika/","subitem_relation_type_select":"URI"}}]},"item_9_version_type_25":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中嶋, 憲一"}],"nameIdentifiers":[{"nameIdentifier":"264","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"00167545","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=00167545"},{"nameIdentifier":"10251927","nameIdentifierScheme":"金沢大学研究者情報","nameIdentifierURI":"http://ridb.kanazawa-u.ac.jp/public/detail.php?kaken=10251927"},{"nameIdentifier":"10251927","nameIdentifierScheme":"研究者番号","nameIdentifierURI":"https://nrid.nii.ac.jp/nrid/1000010251927"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-04-15"}],"displaytype":"detail","filename":"ME-PR-NAKAJIMA-K-kaken 2018-4p.pdf","filesize":[{"value":"3.0 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"ME-PR-NAKAJIMA-K-kaken 2018-4p.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/44756/files/ME-PR-NAKAJIMA-K-kaken 2018-4p.pdf"},"version_id":"2ff5306f-9c5d-4294-aae2-891c3e32f380"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"research report","resourceuri":"http://purl.org/coar/resource_type/c_18ws"}]},"item_title":"人工知能と心疾患リスクモデルとを統合した次世代型画像診断システムの開発","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"人工知能と心疾患リスクモデルとを統合した次世代型画像診断システムの開発"},{"subitem_title":"Development of a new-generation medical imaging diagnosis system integrating artificial intelligence and risk models","subitem_title_language":"en"}]},"item_type_id":"9","owner":"18","path":["2816"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-04-15"},"publish_date":"2019-04-15","publish_status":"0","recid":"44756","relation_version_is_last":true,"title":["人工知能と心疾患リスクモデルとを統合した次世代型画像診断システムの開発"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2024-07-01T05:32:21.914194+00:00"}