腰椎间盘与根茎病变:纳斯指南和ChatGPT的比较
Ankur Kayastha1, Kirthika Lakshmanan1, Michael J Valentine1
1Kansas City University, Kansas City, MO, United States.
North American Spine Society journal
|July 23, 2024
概括
与ChatGPT-3.5相比,在回答关于腰椎间盘的临床问题时,ChatGPT-4.0的准确度提高,补充信息减少. 虽然与指导方针一致,但由于潜在的错误信息,建议谨慎.
科学领域:
- 人工智能在医学中的应用
- 临床决策支持系统 临床决策支持系统
- 自然语言处理自然语言处理.
背景情况:
- 人工智能 (AI) 工具,包括像ChatGPT这样的高级语言模型,正在被探索以帮助临床决策.
- 这项研究评估了ChatGPT-3.5和ChatGPT-4.0在响应与腰椎间盘椎间盘发生根性病相关的临床查询方面的表现.
研究的目的:
- 将ChatGPT-3.5和ChatGPT-4.0产生的反应的准确性和特征与已建立的临床指南进行比较.
- 评估人工智能产生的临床信息与北美脊柱协会 (NASS) 准则的一致性.
主要方法:
- 来自2012年NASS临床指南的15个临床问题,用于椎间盘椎间盘与根性病变查询ChatGPT-3.5和ChatGPT-4.0.0.
- 两位独立作者根据准确性,过度结论性,补充信息和不完整性评估了答案.
- 使用奇平方测试分析了ChatGPT版本之间的性能差异.
主要成果:
- 与ChatGPT-3.5 (47%准确,100%补充) 相比,ChatGPT-4.0显示出更高的准确性 (67%) 和更少的补充信息 (67%).
- 在补充信息中发现了统计学上显著的差异 (p=.014),但在准确性,过度结论性或不完整性方面没有.
- 准确性因类别而异,ChatGPT-4.0在诊断测试中达到100%,而这两种模型在病史和体检方面表现良好.
结论:
- 与ChatGPT-3.5相比,ChatGPT-4.0提供了更好的准确性和更少的外部信息,用于关于腰椎间盘的临床问题.
- 尽管与NASS指南相符,但当前的AI模型需要谨慎的临床应用,因为存在误导信息的风险.
- 需要进一步的研究来完善人工智能工具,以提供可靠的临床决策支持.
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