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皮肤病诊断中的大型语言模型的比较分析:对诊断准确性的评估

Niharika Tekchandani1, Anurup Mukherjee2, Nandakumar Poonthottam1

  • 1Medicine, Medway NHS Foundation Trust, Kent, GBR.

Cureus
|September 15, 2025
PubMed
概括

聊天GPT-4o和克劳德3.7索内特在诊断罕见的皮肤疾病方面表现有前途,表现优于双子座2.0闪光灯. 这些人工智能工具可以帮助临床医生,但不应该取代专家的判断.

关键词:
人工智能的人工智能是人工智能.皮肤病学诊断 皮肤病学诊断诊断的准确性 诊断的准确性大型语言模型.罕见的皮肤疾病 罕见的皮肤疾病

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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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