美国职业医学临床医师对人工智能的看法和实践 大型语言模型:混合方法调查
Zaira S Chaudhry1, Avishek Choudhury
1Industrial and Management Systems Engineering, Benjamin M. Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, United States.
Journal of occupational and environmental medicine
|November 13, 2025
概括
大多数职业和环境医学临床医生不使用大语言模型 (LLM),但对它们感兴趣. 信任是影响他们实际采用LLM的意图的一个关键因素.
科学领域:
- 职业和环境医学 职业和环境医学
- 医疗保健中的人工智能
背景情况:
- 大型语言模型 (LLM) 是新兴的人工智能工具,在医学中具有潜在的应用.
- 了解临床医生的观点对于在医疗保健中采用新技术至关重要.
研究的目的:
- 调查美国职业和环境医学 (OEM) 临床医生目前对LLMs的使用,知识和兴趣.
- 确定影响在OEM实践中采用LLM的因素.
主要方法:
- 与美国OEM临床医生进行了在线调查和半结构面试.
- 进行了定量和定性数据分析,以评估人们的看法和做法.
主要成果:
- 70%的调查受访者 (n=42) 报告称目前没有在临床实践中使用LLM.
- 复合信任分数显著预测了使用LLM的意图 (B = 0.57,p = 0.019).
- 采访数据证实了调查结果,突出了当前不使用的兴趣.
结论:
- 尽管目前采用率很低,但大多数OEM临床医生表示有兴趣使用LLMs.
- 临床医生对LLM的信任是他们打算将这些工具纳入实践的重要预测因素.
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