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Access and Reimbursement for Artificial Intelligence in Radiology: A Japanese Perspective.

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Title: Access and Reimbursement for Artificial Intelligence in Radiology: A Japanese Perspective.
Authors: Hirata K; Department of Diagnostic Imaging, Faculty of Medicine, Hokkaido University, Sapporo, Japan.; Japanese College of Radiology Committee on Clinical Applications of Artificial Intelligence, Tokyo, Japan. khirata@med.hokudai.ac.jp., Miyake M; Japanese College of Radiology Committee on Clinical Applications of Artificial Intelligence, Tokyo, Japan.; Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan.; Japanese College of Radiology, Tokyo, Japan., Yamada K; Japanese College of Radiology, Tokyo, Japan.; Department of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Source: Korean journal of radiology [Korean J Radiol] 2026 Mar; Vol. 27 (3), pp. 202-204. Date of Electronic Publication: 2026 Jan 02.
Publication Type: Editorial
Journal Info: Publisher: Korean Society of Radiology Country of Publication: Korea (South) NLM ID: 100956096 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2005-8330 (Electronic) Linking ISSN: 12296929 NLM ISO Abbreviation: Korean J Radiol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Hirata+K%22">Hirata K</searchLink>; Department of Diagnostic Imaging, Faculty of Medicine, Hokkaido University, Sapporo, Japan.; Japanese College of Radiology Committee on Clinical Applications of Artificial Intelligence, Tokyo, Japan. khirata@med.hokudai.ac.jp.<br /><searchLink fieldCode="AU" term="%22Miyake+M%22">Miyake M</searchLink>; Japanese College of Radiology Committee on Clinical Applications of Artificial Intelligence, Tokyo, Japan.; Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan.; Japanese College of Radiology, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Yamada+K%22">Yamada K</searchLink>; Japanese College of Radiology, Tokyo, Japan.; Department of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
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  Data: <searchLink fieldCode="JN" term="%22100956096%22">Korean journal of radiology</searchLink> [Korean J Radiol] 2026 Mar; Vol. 27 (3), pp. 202-204. <i>Date of Electronic Publication: </i>2026 Jan 02.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Korean+Society+of+Radiology%22">Korean Society of Radiology </searchLink><i>Country of Publication: </i>Korea (South) <i>NLM ID: </i>100956096 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2005-8330 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2212296929%22">12296929 </searchLink><i>NLM ISO Abbreviation: </i>Korean J Radiol <i>Subsets: </i>MEDLINE; In Process
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      – Type: doi
        Value: 10.3348/kjr.2025.1743
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      – Code: eng
        Text: English
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        StartPage: 202
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      – TitleFull: Access and Reimbursement for Artificial Intelligence in Radiology: A Japanese Perspective.
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            NameFull: Hirata K
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            NameFull: Miyake M
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              Text: 2026 Mar
              Type: published
              Y: 2026
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