The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports.
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| Title: | The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports. |
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| Authors: | Kanemaru N; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Yasaka K; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. koyasaka@gmail.com., Fujita N; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Kanzawa J; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Abe O; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. |
| Source: | Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Apr; Vol. 38 (2), pp. 865-872. Date of Electronic Publication: 2024 Aug 26. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39187702 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kanemaru+N%22">Kanemaru N</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Yasaka+K%22">Yasaka K</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. koyasaka@gmail.com.<br /><searchLink fieldCode="AU" term="%22Fujita+N%22">Fujita N</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Kanzawa+J%22">Kanzawa J</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.<br /><searchLink fieldCode="AU" term="%22Abe+O%22">Abe O</searchLink>; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918663679206676%22">Journal of imaging informatics in medicine</searchLink> [J Imaging Inform Med] 2025 Apr; Vol. 38 (2), pp. 865-872. <i>Date of Electronic Publication: </i>2024 Aug 26. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9918663679206676 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2948-2933 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2229482925%22">29482925 </searchLink><i>NLM ISO Abbreviation: </i>J Imaging Inform Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39187702 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10278-024-01242-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 865 Titles: – TitleFull: The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kanemaru N – PersonEntity: Name: NameFull: Yasaka K – PersonEntity: Name: NameFull: Fujita N – PersonEntity: Name: NameFull: Kanzawa J – PersonEntity: Name: NameFull: Abe O IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2025 Apr Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2948-2933 Numbering: – Type: volume Value: 38 – Type: issue Value: 2 Titles: – TitleFull: Journal of imaging informatics in medicine Type: main |
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