在结肠镜评估中使用人工智能
Kareem Khalaf1, Tommy Rizkala2,3, Alessandro Repici2,3
1Division of Gastroenterology, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
Current opinion in gastroenterology
|October 31, 2024
概括
结肠镜中的人工智能改善了聚的检测和表征. 计算机辅助诊断系统提高了准确性,但人类监督对于最佳的患者护理至关重要.
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) 已经推进了医疗诊断.
- 胃肠内镜,特别是结肠镜,从AI整合中受益.
研究的目的:
- 审查人工智能对结直肠息肉检测和表征的影响.
- 为突出计算机辅助诊断系统的进步.
主要方法:
- 审查最近的元分析和随机对照试验 (RCT).
- 计算机辅助诊断 - 检测 (CADe) 和计算机辅助诊断 - 描述 (CADx) 系统的评估.
主要成果:
- CADe系统显著提高了腺瘤检测率 (ADR).
- CADx系统有效地区分了多类型,支持了切除和丢弃等策略.
- 人工智能在受控研究中显示出高性能.
结论:
- 人工智能在结肠镜检查中的整合代表了重大进步.
- CADe和CADx系统提高了病变检测,表征和工作流程效率.
- 人工智能应该增强,而不是取代,内镜专家的专业知识,以获得最佳的临床决策.
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