医生在临床实践中大语言模型的知识,感知和使用:苏丹卡布斯大学医院的横截面研究
Rahma Al Kindi1, Hana Al Sumry2, Aisha Al Khamisi3
1Department of Family Medicine & Public Health, Sultan Qaboos University Hospital, University Medical City, Muscat, Oman.
Sultan Qaboos University medical journal
|December 22, 2025
概括
医生对像ChatGPT这样的大型语言模型 (LLM) 有适度的熟悉,主要用于教育和研究. 解决人工智能培训和道德问题是负责任地融入医疗保健的关键.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 医生教育 医生教育
背景情况:
- 医生采用大型语言模型 (LLM) 等先进技术正在迅速发展.
- 了解医生对LLM的看法对于其有效融入医疗保健至关重要.
- 苏丹卡布斯大学医院 (SQUH) 的医生对ChatGPT和其他LLM的认识和使用以前没有被评估.
研究的目的:
- 评估SQUH的医生对ChatGPT和其他LLM的知识,感知和使用情况.
- 探索与AI在临床实践中的整合相关的感知好处,障碍和伦理问题.
- 确定影响医院环境中LLM采用和使用模式的因素.
主要方法:
- 从2024年9月到12月进行了一项横截面研究.
- 一份结构化的在线问卷被分发给SQUH各个专业的医生.
- 该调查收集了有关人口统计,LLM熟悉度,应用和道德考虑的数据.
主要成果:
- 在146名医生中,65.1%的人熟悉LLM,而70.5%的人使用过LLM,主要用于教育 (47.9%) 和研究 (46.6%).
- 医生认为LLM对研究 (82.9%),教育 (79.5%) 和患者护理 (54.1%) 有好处,但对整合成果的信心为39.7%.
- 报告了有关可靠性,准确性和数据隐私的广泛道德担忧 (96.6%),对道德准则的认识很低 (15.1%).
结论:
- 在SQUH的医生表现出对LLMs的适度熟悉和谨慎乐观.
- 人工智能培训和道德意识的重大差距需要注意负责任的采用.
- 需要有针对性的干预措施来增强医生信心,并解决AI在临床实践中的伦理考虑.
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