Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study

Abstract Objectives To evaluate whether collaborative assistance from an artificial intelligence-based tool that proposes partial radiology report content can improve reporting efficiency and radiologist satisfaction in chest X-ray interpretation, without compromising report quality. Materials and m...

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Главные авторы:	Chantal Pellegrini, Ege Özsoy, Florian T. Gassert, Alexander W. Marka, Maximilian Strenzke, Matthias Keicher, Marcus R. Makowski, Nassir Navab
Формат:	Artigo
Язык:	Inglês
Опубликовано:	SpringerOpen 2026-04-01
Серии:	Insights into Imaging
Предметы:	Artificial intelligence Chest X-ray Radiology reporting Human-AI-collaboration Large language models
Online-ссылка:	https://doi.org/10.1186/s13244-026-02292-7
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