人工智能用于自动和客观地评估灵活支气管镜的能力
Kristoffer Mazanti Cold1, Kaladerhan Agbontaen2, Anne Orholm Nielsen1,3
1Copenhagen Academy for Medical Education and Simulation (CAMES), Rigshospitalet, University of Copenhagen, the Capital Region of Denmark, Copenhagen, Denmark.
Journal of thoracic disease
|October 24, 2024
概括
人工智能 (AI) 现在可以客观地评估灵活的支气管镜技术. 这种人工智能系统对诊断完整性和结构化的进展提供即时反,与专家评估相对应.
科学领域:
- 医学教育 医学教育
- 人工智能在医学中的应用
- 呼吸系统医学 呼吸系统医学
背景情况:
- 灵活的支气管镜能力评估传统上依赖于耗时,潜在的偏见的专家评价者.
- 需要客观,即时和公正的评估方法来改善培训和评估.
- 人工智能 (AI) 为自动化能力评估提供了一个潜在的解决方案.
研究的目的:
- 评估基于人工智能的系统的有效性,用于自动和客观地评估灵活的支气管镜能力.
- 确定AI是否可以对程序技能提供即时反.
- 将人工智能驱动的结果措施与人类专家评级进行比较.
主要方法:
- 在欧洲呼吸学会年会上,参与者进行了模拟的灵活支气管镜检查.
- 一个AI系统根据诊断完整性 (DC),结构化进展 (SP),程序时间 (PT) 和平均分段间时间 (MIT) 来评估程序.
- 人工智能评级与使用经过验证的工具对解剖学和灵敏度的盲目专家评估进行了比较.
主要成果:
- 所有四个AI结果指标 (DC,SP,PT,MIT) 都显示出与专家解剖学和灵巧度等级的显著相关性.
- 结构化进展 (SP) 与专家评级的相关性比诊断完整性 (DC) 更强.
- 人工智能评估显示了客观和即时的评估能力.
结论:
- 这项研究提供了基于人工智能的初步有效性证据,用于对灵活支气管镜检查中的解剖学和导航技能进行评估.
- 人工智能为支气管镜检查中立即,客观和自动化能力评估提供了一个有前途的工具.
- 结构化的进展成为评估支气管镜检查表现的关键AI指标.
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