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对宫脊椎病的大型语言模型进行基准测试.

Boyan Zhang1,2, Yueqi Du1,2, Wanru Duan1,2

  • 1Xuanwu Hospital, Capital Medical University, Beijing, China.

JMIR formative research
|August 5, 2024
PubMed
概括

大型语言模型 (LLM) 可以帮助椎脊椎病患者获得医疗建议. 在接受测试的LLM中,GPT-4在回答患者关于这种常见脊柱疾病的问题方面表现出最高的准确性.

科学领域:

  • 脊柱疾病 脊柱疾病
  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能

背景情况:

  • 宫脊椎病是一种常见的退行性脊柱状况.
  • 患者需要可访问的医疗信息来管理他们的病情.
  • 大型语言模型 (LLM) 为患者的医疗咨询提供了一个新的途径.

研究的目的:

  • 评估LLM生成的答案对常见的宫脊椎病患者问题的准确性.
  • 为了比较不同LLM在为这种疾病提供医疗信息方面的表现.

主要方法:

  • 收集了宫脊椎病患者的常见问题.
  • 利用多个大型语言模型来生成答案.
  • 评估了三个经验丰富的脊椎外科医生对LLM反应的准确性.

主要成果:

  • 所有评估的LLM都为患者的问题提供了令人满意的答案.
  • 在答案中,GPT-4表现出最高的准确率.
  • 分析揭示了不同LLM的不同能力和改进领域.

结论:

  • LLM是为椎脊髓炎患者提供医疗信息的可行工具.
关键词:
聊天GPT 聊天 在GPT 聊天在法学士 (LLM) 课程中.宫脊椎病 - - 宫脊椎病大型语言模型病人的病人的病人的病.

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  • 对于这个特定的应用,GPT-4在准确性方面表现出了卓越的表现.
  • 需要进一步开发人工智能,以提高医学咨询的LLM能力.