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English(EN) Large Language Models Versus Physicians in Traditional Chinese Medicine: A Real-World Clinical Case Evaluation

大型语言模型在中医诊断方面优于医师,但需要监督

一项新近发表在arXiv上的研究评估了16种大型语言模型(LLMs)与60名执业中医师的表现。在医疗建议和诊断任务等领域,LLMs的表现优于人类医师,在中医专家评估中得分更高。然而,模型在处方准确性方面存在局限,包括药材选择和剂量,并产生了幻觉和模板化回复等令人担忧的输出,因此需要医师的监督。 AI

影响 大型语言模型在专业医疗领域的决策支持方面展现出潜力,但出于安全性和准确性考虑,需要人工监督。

排序理由 该集群包含一篇评估大型语言模型在特定领域表现的学术论文。

在 arXiv cs.CL 阅读 →

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大型语言模型在中医诊断方面优于医师,但需要监督

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该集群包含一篇评估大型语言模型在特定领域表现的学术论文。
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jiacheng Xie, Xiaoting Tang, Yang Yu, Jinpu Li, Shouli Li, Congcong Jing, Yantao Yang, Zhiyong Zhao, Ziyang Zhang, Qilin Song, Guanghui An, Dong Xu ·

    大型语言模型与中医医师在真实世界临床病例评估中的对比

    arXiv:2609.17544v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being explored for clinical applications, yet their assessment for real-world traditional Chinese medicine (TCM) practice remains limited We constructed a clinical case library comprisin…