支气管镜术中的人工智能:系统性审查
Kristoffer Mazanti Cold1,2, Anishan Vamadevan3, Christian B Laursen4,5
1Copenhagen Academy for Medical Education and Simulation (CAMES), Center for HR & Education, The Capital Region of Denmark, Copenhagen, Denmark kristoffer.mazanti.cold.01@regionh.dk.
概括
支气管镜术中的人工智能 (AI) 是有前途的,研究表明AI可以在导航和结节检测方面匹配或超过人类的表现. 需要进一步的研究来确认临床影响.
科学领域:
- 肺部病理学 肺部病理学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在提高内镜诊断能力和操作员技能.
- 目前正在开发新兴的人工智能系统,用于支气管镜检查.
- 本综述确定并描述了当前在支气管镜检查中的AI应用.
研究的目的:
- 系统地识别和描述为支气管镜检查开发的人工智能 (AI) 系统.
- 与人类操作员相比,评估人工智能系统在支气管镜检查中的性能.
- 评估开发人工智能用于支气管镜检查的研究的方法质量.
主要方法:
- 使用关键词"支气管镜检查"和"AI"对MEDLINE,Embase和Scopus数据库进行系统审查.
- 纳入标准要求人工智能对人类表现进行评估.
- 使用医学教育研究研究质量工具 (MERSQI) 评估的方法质量.
主要成果:
- 20项研究在1196项已识别的研究中满足了资格标准.
- 人工智能应用分为气道导航 (9),结节检测 (7) 和快速现场评估 (4).
- 16项研究表明,人工智能性能与人类评级相等 (12) 或更高 (4);4项导航研究支持人工智能在模拟中的指导.
结论:
- 开发了20个用于支气管镜的AI系统,只有4个实施研究.
- 人工智能在气道导航方面表现出潜力,在模拟环境中匹配或超过人类的性能.
- 进一步的实施研究对于确定AI在支气管镜术中的临床疗效至关重要.
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