人工智能在临床实践中的感知作用:对941名学术医生的全国调查
Anshul Ratnaparkhi1, Simon Moore1, Abhinav Suri2
1Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
JMIR AI
|December 4, 2025
概括
大多数美国医生都愿意在临床实践中使用人工智能 (AI) 进行风险分层和预后等任务. 解决对错误和偏见的担忧是成功在医学中实施人工智能的关键.
科学领域:
- 医疗信息学 医疗信息学
- 临床人工智能实施方案
- 医生技术的采用 医生技术的采用
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 模型越来越多地用于医学研究.
- 尽管有发展,但AI和ML工具在常规临床实践中受到了有限的采用.
- 人工智能模型开发与现实世界的临床应用之间存在差距.
研究的目的:
- 调查人工智能模型开发和临床实施之间的断开.
- 对美国各专业的医生进行关于人工智能采用的调查.
- 了解医生在医疗保健中使用AI的观点.
主要方法:
- 通过学术机构向医生 (临床医生和住院医生) 分发了一份调查.
- 医生报告了他们的培训,专业化和实践特点.
- 问题涉及人工智能的允许性,使用意愿,使用/反对理由以及道德问题.
主要成果:
- 超过80%的受访医生表示愿意在实践中采用人工智能.
- 最重要的人工智能应用包括风险分层,图像分析和疾病预后.
- 主要问题涉及潜在的临床错误和人工智能对人类偏见的复制.
结论:
- 这项研究代表了美国医生对人工智能的看法的大型,多样化的数据集.
- 大多数学术医生都愿意将AI整合到他们的实践中.
- 开发人员和医生之间的协作努力对于开发医学准确,可访问和道德的人工智能工具至关重要.
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