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.
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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  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.
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  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
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        Value: 10.1186/s13244-026-02292-7
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      – TitleFull: 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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              Text: 2026 Apr 28
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