多式联网大型语言模型在放射学测试案例中的诊断性能:即时工程和输入条件的影响

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Updated: May 17, 2025

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Taewon Han1, Woo Kyoung Jeong1, Jaeseung Shin1

  • 1Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Ultrasonography (Seoul, Korea)
|April 16, 2025
PubMed
概括

克劳德3.5索内特在放射图像的诊断准确度方面领先,表现优于GPT-4o和Gemini-1.5-Pro. 人工智能生成的提示和描述性文本显著改善了大型语言模型 (LLM) 的性能.

关键词:
人工智能的人工智能是人工智能.诊断成像诊断成像的使用医疗信息学医学信息学自然语言处理自然语言处理.

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