使用人工智能进行肠道准备评估:系统审查
Kristoffer Mazanti Cold1, Amaan Ali2, Lars Konge3
1Rigshospitalet, CAMES, Copenhagen, Denmark.
Endoscopy international open
|July 4, 2025
概括
用于肠道准备的人工智能 (AI-BPS) 可以标准化和提高结肠镜检查的准确性. AI-BPS系统的性能与人类的评级相当或更高,并且与腺瘤检测率相关.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 肠道准备不足是结肠镜检查期间遗漏腺瘤的主要原因.
- 波士顿肠道准备量表 (BBPS) 是评估肠道准备质量的标准.
- 人工智能 (AI) 提供了客观和自动化肠道准备评估的潜力.
研究的目的:
- 系统地审查和评估基于人工智能的肠道制备量表 (AI-BPS) 系统,用于结肠镜检查.
- 识别和描述现有的AI-BPS技术及其性能指标.
主要方法:
- 在MEDLINE,EMBASE和SCOPUS中进行了系统的文献审查.
- 搜索术语包括结肠镜检查,肠道准备量表 (BPS) 和人工智能 (AI).
- 两个独立的审查员从符合条件的研究中提取了数据.
主要成果:
- 八项研究符合资格标准,评估了六个AI-BPS系统.
- 大多数AI-BPS系统的性能与专家的BBPS评级相当或超过.
- 三项研究表明,AI-BPS与腺瘤/息肉检测率之间存在相关性.
结论:
- 人工智能-BPS有望标准化肠道准备评估,并可能超过人类评估.
- 为了进行可靠的比较和元分析,需要遵守报告准则的进一步研究.
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