人工智能时代的结肠镜:聚焦腺瘤错误率
Kalpana Panda1, Girish K Pati2, Devi P Dash3
1Division of Pediatric Gastroenterology and Hepatology, Institute of Medical Sciences and SUM Hospital, Bhubaneshwar 751003, Odisha, India. drkalpanapanda@gmail.com.
World journal of gastroenterology
|November 3, 2025
概括
人工智能 (AI) 计算机辅助检测 (CADe) 在结肠镜检查期间显著降低腺瘤和息肉错误率,特别是在小病变中. 需要进一步的研究来确认这些好处在现实世界中设置.
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:
- 腺瘤错误率 (AMR) 是结肠镜质量的关键指标.
- 传统的腺瘤检测率可能无法完全捕捉查的有效性.
- 基于人工智能的计算机辅助检测 (CADe) 系统是内镜中的新兴工具.
研究的目的:
- 评估AI-CADe对结肠镜检查期间腺瘤和多错误率的影响.
- 评估AMR作为性能终点的临床意义.
- 讨论AI-CADe对结直肠癌预防的影响.
主要方法:
- 在结肠镜检查中评估AI-CADe的研究的系统审查和元分析.
- 分析的重点是腺瘤错误率 (AMR) 和聚错误率.
- 考虑病变的特征,如大小和形态.
主要成果:
- AI-CADe显著降低了腺瘤和聚错误率.
- 这种益处在小和状状病变中尤为显著.
- 在AI-CADe的帮助下观察到AMR的减少.
结论:
- 在改善结肠镜检查的彻底性和减少遗漏病变方面,AI-CADe显示出前景.
- 抗胰岛素耐药性是评估结肠镜检查性能的一个有价值的指标.
- 建议继续评估和整合人工智能技术,以加强结直肠癌的预防.
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