Prospective evaluation of artificial intelligence (AI) in lumbar spine magnetic resonance imaging (MRI) workflow: from deep learning (DL)-enhanced accelerated acquisition to simultaneous vision-language model (VLM)-based automated report generation.

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Title: Prospective evaluation of artificial intelligence (AI) in lumbar spine magnetic resonance imaging (MRI) workflow: from deep learning (DL)-enhanced accelerated acquisition to simultaneous vision-language model (VLM)-based automated report generation.
Authors: Park J; Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science (CCIDS), Yonsei University College of Medicine, Seoul, South Korea., Han K; Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science (CCIDS), Yonsei University College of Medicine, Seoul, South Korea., Oh JS; Department of Radiology, Seoul National University Hospital, Seoul, South Korea., Chae HD; Department of Radiology, Seoul National University Hospital, Seoul, South Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea., Kim A; Department of Biostatistics and Computing, Yonsei University Graduate School, Seoul, South Korea., Park SY; Department of Orthopaedic Surgery, Yonsei University College of Medicine, Seoul, South Korea., Yoo HJ; Department of Radiology, Seoul National University Hospital, Seoul, South Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea., Lee YH; Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science (CCIDS), Yonsei University College of Medicine, Seoul, South Korea; Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, South Korea. Electronic address: sando@yuhs.ac.
Source: European journal of radiology [Eur J Radiol] 2026 Mar; Vol. 196, pp. 112695. Date of Electronic Publication: 2026 Jan 21.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 8106411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7727 (Electronic) Linking ISSN: 0720048X NLM ISO Abbreviation: Eur J Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-7727
DOI:10.1016/j.ejrad.2026.112695