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In-context learning enables large language models to achieve human-level performance in spinal instability neoplastic score classification from synthetic CT and MRI reports.

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第一作者： Maximilian F,Russe

第一单位： Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, 79106, Freiburg, Germany.

作者： Maximilian F,Russe ^[1] ; Marco,Reisert ^[2] ; Anna,Fink ^[1] ; Marc,Hohenhaus ^[3] ; Julia M,Nakagawa ^[3] ; Caroline,Wilpert ^[1] ; Carl P,Simon ^[1] ; Elmar,Kotter ^[1] ; Horst,Urbach ^[4] ; Alexander,Rau ^[5]

作者单位： Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, 79106, Freiburg, Germany. ^[1] Medical Physics, Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, 79106, Freiburg, Germany.;Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, 79106, Freiburg, Germany. ^[2] Department of Neurosurgery, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, 79106, Freiburg, Germany. ^[3] Department of Neuroradiology, Faculty of Medicine, Medical Center - University of Freiburg,, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany. ^[4] Department of Neuroradiology, Faculty of Medicine, Medical Center - University of Freiburg,, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany. alexander.rau@uniklinik-freiburg.de. ^[5]

关键词 In-context learning Large language model SINS classification Spinal metastasis

医学主题词人类(Humans);磁共振成像(Magnetic Resonance Imaging);脊椎肿瘤(Spinal Neoplasms);回顾性研究(Retrospective Studies);体层摄影术, X线计算机(Tomography, X-Ray Computed);关节不稳定性(Joint Instability);语言(Language)

DOI 10.1007/s11547-025-02096-7

PMID 40991161

发布时间 2025-12-04

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