弥合差距:大语言模型可以与人类专业知识相匹配吗?在写神经外科手术笔记时?
Abdullah Ali1, Rohit Prem Kumar1, Hanish Polavarapu2
1Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
World neurosurgery
|August 17, 2024
概括
人工智能 (AI) 显示出改善神经外科文档的前景. 虽然人工智能笔记与外科医生的准确性和组织性相匹配,但它们缺乏内容深度,并使用高级语言.
科学领域:
- 神经外科 神经外科
- 医疗文件 医疗文件
- 人工智能的人工智能
背景情况:
- 准确的患者记录在医疗保健中至关重要.
- 人工智能 (AI) 提供了增强神经外科笔记写作的机会.
- 这项研究调查了AI在优化神经外科手术程序文档方面的作用.
研究的目的:
- 评估AI,特别是ChatGPT 4.0在生成神经外科手术笔记方面的有效性.
- 在准确性,内容和组织方面,将AI生成的笔记与外科医生撰写的笔记进行比较.
- 评估人工智能生成的神经外科笔记的可读性.
主要方法:
- 匿名的神经外科手术笔记被用于训练ChatGPT 4.0.0.
- 人工智能生成的笔记是从使用外科医生特定模板的手术片段创建的.
- 三位神经外科医生评估了144条笔记 (人工智能与外科医生) 的准确性,内容和组织,使用5分级.
- 使用弗莱什-金凯德等级水平 (FKGL) 和弗莱什阅读易度 (FRE) 评分来评估可读性.
主要成果:
- 人工智能笔记表现出与外科医生笔记 (P=0.512) 相似的准确度 (4.44对4.33) 和组织.
- 人工智能笔记的内容得分明显较低 (3.73比4.42;P<0.001).
- 人工智能笔记比外科医生笔记显示出更高的FKGL (13.13对9.99;P<0.001) 和更低的FRE (21.42对41.70;P<0.001).
结论:
- 人工智能生成的笔记是准确和有组织的,但不如外科医生笔记那么全面.
- 人工智能笔记使用更高级的阅读水平,需要更高的FKGL和更低的FRE.
- 尽管目前的内容限制,但ChatGPT有可能提高神经外科文档的效率.
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