人工智能辅助囊内镜与用于检测小肠病变的传统囊内镜:系统性审查和元分析
Arkadeep Dhali1,2, Vincent Kipkorir3, Rick Maity4
1Academic Unit of Gastroenterology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
与常规CE相比,人工智能辅助囊内镜 (CE) 显示出较好的诊断准确度和小肠病变的灵敏度. 虽然特异性较低,但人工智能辅助的CE可以提高病变检测和患者管理.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 囊内镜 (CE) 是诊断小肠病变的关键工具.
- 对AI辅助CE与传统CE的诊断性能进行评估对于临床实践至关重要.
研究的目的:
- 系统地审查和元分析人工智能辅助CE用于小肠病变的诊断准确度,灵敏度,特异性和预测值.
- 为了比较人工智能辅助CE与传统CE的性能.
主要方法:
- 在PubMed,SCOPUS和EMBASE进行了全面的文献搜索.
- 包括到2024年11月24日发表的研究,包括原创文章,评论和案例系列.
- 数据被聚合并使用元分析技术与综合元分析v4.0.0进行分析.
主要成果:
- 与传统CE相比,人工智能辅助CE显示出更高的聚合灵敏度 (0.9239) 和负预测值 (0.9425) .
- 传统的CE显示出比人工智能辅助CE更高的聚合精度 (0.966) 和特异性 (0.998).
- 人工智能辅助的CE具有较低的积极预测值 (0.8928),而不是传统的CE (0.982).
结论:
- 人工智能辅助囊内镜提供了优越的诊断准确度,灵敏度和小肠病变的积极预测值,与传统的CE相比.
- 尽管特异性较低,但AI辅助CE建议用于精确检测和改善小肠病变的管理.
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