Automated Structured Reporting of Neurodegenerative Imaging Markers Using Quantitative MRI and Large Language Models.

Ji Su Ko¹, Wooseok Jung², Pae Sun Suh³, Hwon Heo⁴, Woo Hyun Shim⁵, Dong-Hee Kim⁶, Seung Hyun Lee⁶, Mijoo Kim⁶, Nahyuk Lee⁶, Saehyun Kim⁶, Sang Joon Kim⁷, Chong Hyun Suh⁷

¹Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.S.K.).

²VUNO Inc, Seoul, Republic of Korea (W.J., D.-H.K., S.H.L., M.K., N.L., S.K.); UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, California (W.J.).

³Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea (P.S.S.). Electronic address: blackmizz@gmail.com.

⁴Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea (H.H., W.H.S.).

⁵Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea (H.H., W.H.S.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea (W.H.S., S.J.K., C.H.S.).

⁶VUNO Inc, Seoul, Republic of Korea (W.J., D.-H.K., S.H.L., M.K., N.L., S.K.).

⁷Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea (W.H.S., S.J.K., C.H.S.).

PubMed DOI

Abstract

RATIONALE AND OBJECTIVES: To evaluate the feasibility of a quantitative magnetic resonance imaging (MRI)-to-structured reporting pipeline that integrates quantitative MRI software with large language models (LLMs) for structured drafting of neurodegenerative imaging markers and generating clinician-facing report conclusions. MATERIALS AND METHODS: A total of 192 patients with 3D T1 and 2D or 3D F…

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