一项关于病理学家采用大型语言模型的调查分析
Thiyaphat Laohawetwanit1,2, Daniel Gomes Pinto3,4, Andrey Bychkov5
1Division of Pathology, Chulabhorn International College of Medicine, Thammasat University, Pathum Thani, Thailand.
American journal of clinical pathology
|July 30, 2024
概括
近一半的病理学家在专业任务中采用了大型语言模型 (LLM),发现它们有利于节省时间. 然而,关于准确性,隐私和监管的担忧仍然存在.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在病理学中的应用
背景情况:
- 大型语言模型 (LLM) 是新兴的人工智能工具,在各种专业领域都有潜在的应用.
- 病理学是一个依赖于数据解释和报告的领域,可能会从LLM整合中受益.
研究的目的:
- 调查病理学家中大语言模型 (LLM) 的采用率.
- 了解病理学家对LLM应用在他们的实践中的实用性和挑战的看法和观点.
主要方法:
- 对病理学家进行了一项全球性,横截面的调查.
- 通过使用定量和定性问题收集了关于LLM使用模式,感知到的好处和担忧的数据.
- 分析重点关注人工智能工具的采用趋势和前景.
主要成果:
- 在215名受访者中,46.5%的人使用LLM (例如,ChatGPT) 进行专业任务,例如撰写报告和检索信息,并注意到节省时间.
- 学术病理学家表现出更高的LLM理解;工具在病理学知识中适度熟练,但在一般领域有时不准确.
- 希望的LLM功能包括图像分析;关注的焦点是准确性,隐私和监管.
结论:
- 在病理学家中,LLM的采用正在迅速增长,具有显著的感知效益.
- 尽管接受,病理学家对LLM可靠性,道德考虑和数据安全表示合理的担忧.
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