人工智能的使用改善了腺瘤检测中的结肠镜性能:系统性审查和元分析
Jonathan Makar1, Jonathan Abdelmalak2, Danny Con3
1Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia.
Gastrointestinal endoscopy
|August 31, 2024
概括
人工智能 (AI) 显著提高了结肠镜检查期间腺瘤的检测,改善了质量指标. 然而,人工智能辅助结肠镜并没有增强状状病变的检测.
科学领域:
- 胃肠病学 胃肠病学
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地被整合到医疗程序中,以提高诊断准确度.
- 计算机辅助检测 (CADe) 系统旨在提高结肠镜检查期间腺瘤检测率.
- 评估人工智能对结肠镜质量的影响对于临床实践至关重要.
研究的目的:
- 对计算机辅助检测 (CADe) 系统在结肠镜检查中的有效性进行更新的元分析.
- 评估人工智能辅助结肠镜对关键质量指标的影响,包括腺瘤检测和错误率.
- 评估CADe系统在不同内镜经验和医疗保健环境中的性能.
主要方法:
- 在EMBASE,PubMed和MEDLINE数据库中进行系统搜索,直到2024年2月15日.
- 包括随机对照试验 (RCT),将AI辅助结肠镜与无辅助结肠镜进行比较.
- 随机效应元分析以评估腺瘤检测率,错误率和其他质量指标.
主要成果:
- 人工智能辅助结肠镜增加了20%的腺瘤检测率,并降低了55%的错误率.
- CADe系统增强了微小病变的检测,但没有高级腺瘤或状状病变.
- 随着AI的使用,观察到禁用时间和非新发性息肉切除的轻微增加.
结论:
- 人工智能辅助结肠镜显著提高了腺瘤检测率,并减少了错误率.
- 人工智能在腺瘤检测中的好处在各种内镜体验和环境中是一致的.
- 人工智能在检测状状病变方面没有显著改善.
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