Diagnostic performance of multimodal large language models in radiological quiz cases: the effects of prompt engineering and input conditions.

Journal: Ultrasonography (Seoul, Korea)
Published Date: Mar 11, 2025

Abstract

PURPOSE: This study aimed to evaluate the diagnostic accuracy of three multimodal large language models (LLMs) in radiological image interpretation and to assess the impact of prompt engineering strategies and input conditions.

Authors

  • Taewon Han
    Department of Environmental Sciences, Rutgers, The State University of New Jersey, 14 College Farm Road, New Brunswick, NJ 08901, USA.
  • Woo Kyoung Jeong
    Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Jaeseung Shin

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