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Updated: Jun 22, 2025

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在"请诊断"的情况下,GPT-4o,Claude 3 Opus和Gemini 1.5 Pro的诊断性能

Yuki Sonoda1, Ryo Kurokawa1, Yuta Nakamura1

  • 1Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.

Japanese journal of radiology
|July 2, 2024
PubMed
概括

与GPT-4o和Gemini 1.5 Pro.相比,Claude 3 Opus在放射学测试中表现出更高的诊断准确性,而GPT-4o和Gemini 1.5 Pro.则表现出更高的诊断准确性. 这些大型语言模型在协助放射科医生进行成像解释方面显示出有前途.

关键词:
人工智能的人工智能是人工智能.聊天GPT 聊天 在GPT 聊天克劳德的第三部作品在 GPT-4o 中.双子座 1.5 专业版大型语言模型.

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Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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