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人工智能对结肠多体检测和诊断以及结肠癌的作用
Tommy Rizkala1, Maddalena Menini1, Davide Massimi1
1Endoscopy Unit, Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, Milan 20089, Italy.
Gastrointestinal endoscopy clinics of North America
|February 28, 2025
概括
像计算机辅助检测 (CADe) 这样的人工智能 (AI) 工具可以改善结肠镜检测. 虽然计算机辅助诊断 (CADx) 是有前途的,但它对协助医生的现实世界的好处需要进一步研究.
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:
- 人工智能 (AI) 正在越来越多地影响医学和日常生活.
- 在胃肠病学中,人工智能工具如计算机辅助检测 (CADe) 和计算机辅助诊断 (CADx) 主要在结肠镜中进行研究.
- 这些人工智能应用程序的重点是从内镜手术期间的视觉外观来检测聚和组织学预测.
研究的目的:
- 评估人工智能工具在胃肠病学,特别是结肠镜学中的影响和益处.
- 评估人工智能的临床适用性,以提高结肠镜检查质量和标准化程序.
- 为了澄清CADx在帮助内镜医生超出其诊断性能之外的额外好处.
主要方法:
- 审查当前的AI应用在胃肠病学,专注于结肠镜.
- 分析有关计算机辅助检测 (CADe) 用于多体识别的性能数据.
- 对计算机辅助诊断 (CADx) 的诊断性能数据的评估,用于预测多组织学.
主要成果:
- 计算机辅助检测 (CADe) 显示了适用于结肠镜临床实践的明显好处.
- 在结肠镜检查过程中,CADe有助于检测聚,提高了手术质量.
- 计算机辅助诊断 (CADx) 显示出良好的诊断性能,但其对内镜医生辅助的附加值尚未明确.
结论:
- 人工智能工具,特别是CADe,在临床环境中为结肠镜检测和息肉检测提供了切实的好处.
- 需要进一步的研究来确定CADx在支持内镜手术中的实用优势和临床实用性.
- 人工智能在胃肠病学中的整合有可能提高程序结果和效率.
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