Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study.
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| Title: | Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study. |
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| Authors: | Pellegrini C; School of Computation, Information and Technology, Technical University of Munich, Munich, Germany. chantal.pellegrini@gmail.com.; Munich Center of Machine Learning, Technical University of Munich, Munich, Germany. chantal.pellegrini@gmail.com., Özsoy E; School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Munich Center of Machine Learning, Technical University of Munich, Munich, Germany., Gassert FT; Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany., Marka AW; Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany., Strenzke M; Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany., Keicher M; School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Munich Center of Machine Learning, Technical University of Munich, Munich, Germany., Makowski MR; Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany., Navab N; School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Munich Center of Machine Learning, Technical University of Munich, Munich, Germany. |
| Source: | Insights into imaging [Insights Imaging] 2026 Apr 28; Vol. 17 (1). Date of Electronic Publication: 2026 Apr 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 101532453 Publication Model: Electronic Cited Medium: Print ISSN: 1869-4101 (Print) Linking ISSN: 18694101 NLM ISO Abbreviation: Insights Imaging Subsets: PubMed not 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: 42047956 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Pellegrini+C%22">Pellegrini C</searchLink>; School of Computation, Information and Technology, Technical University of Munich, Munich, Germany. chantal.pellegrini@gmail.com.; Munich Center of Machine Learning, Technical University of Munich, Munich, Germany. chantal.pellegrini@gmail.com.<br /><searchLink fieldCode="AU" term="%22Özsoy+E%22">Özsoy E</searchLink>; School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Munich Center of Machine Learning, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Gassert+FT%22">Gassert FT</searchLink>; Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Marka+AW%22">Marka AW</searchLink>; Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Strenzke+M%22">Strenzke M</searchLink>; Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Keicher+M%22">Keicher M</searchLink>; School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Munich Center of Machine Learning, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Makowski+MR%22">Makowski MR</searchLink>; Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Navab+N%22">Navab N</searchLink>; School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Munich Center of Machine Learning, Technical University of Munich, Munich, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101532453%22">Insights into imaging</searchLink> [Insights Imaging] 2026 Apr 28; Vol. 17 (1). <i>Date of Electronic Publication: </i>2026 Apr 28. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101532453 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1869-4101 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218694101%22">18694101 </searchLink><i>NLM ISO Abbreviation: </i>Insights Imaging <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42047956 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13244-026-02292-7 Languages: – Code: eng Text: English Titles: – TitleFull: Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pellegrini C – PersonEntity: Name: NameFull: Özsoy E – PersonEntity: Name: NameFull: Gassert FT – PersonEntity: Name: NameFull: Marka AW – PersonEntity: Name: NameFull: Strenzke M – PersonEntity: Name: NameFull: Keicher M – PersonEntity: Name: NameFull: Makowski MR – PersonEntity: Name: NameFull: Navab N IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 04 Text: 2026 Apr 28 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1869-4101 Numbering: – Type: volume Value: 17 – Type: issue Value: 1 Titles: – TitleFull: Insights into imaging Type: main |
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