How green are large language models for radiology report labelling? Comparing human, rule-based and hybrid workflows.
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| Title: | How green are large language models for radiology report labelling? Comparing human, rule-based and hybrid workflows. |
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| Authors: | Fink, Matthias A.1,2 (AUTHOR) matthias.fink@uni-heidelberg.de, Bischoff, Arved1 (AUTHOR), Atsiatorme, Edem1 (AUTHOR), Kremer, Alexander1 (AUTHOR), Kroschke, Jonas1 (AUTHOR), Moll, Martin1 (AUTHOR), Stein, Patrick1 (AUTHOR), Riebl, Veronika1 (AUTHOR), Leichenich, Timo1 (AUTHOR), Kauczor, Hans-Ulrich1,2 (AUTHOR), Schlamp, Kai1,3 (AUTHOR) |
| Source: | Insights into Imaging. 5/27/2026, Vol. 17 Issue 1, p1-11. 11p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194091759 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194091759 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13244-026-02289-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Titles: – TitleFull: How green are large language models for radiology report labelling? Comparing human, rule-based and hybrid workflows. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fink, Matthias A. – PersonEntity: Name: NameFull: Bischoff, Arved – PersonEntity: Name: NameFull: Atsiatorme, Edem – PersonEntity: Name: NameFull: Kremer, Alexander – PersonEntity: Name: NameFull: Kroschke, Jonas – PersonEntity: Name: NameFull: Moll, Martin – PersonEntity: Name: NameFull: Stein, Patrick – PersonEntity: Name: NameFull: Riebl, Veronika – PersonEntity: Name: NameFull: Leichenich, Timo – PersonEntity: Name: NameFull: Kauczor, Hans-Ulrich – PersonEntity: Name: NameFull: Schlamp, Kai IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 05 Text: 5/27/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18694101 Numbering: – Type: volume Value: 17 – Type: issue Value: 1 Titles: – TitleFull: Insights into Imaging Type: main |
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