人工智能辅助结肠镜改善了常规结肠镜实践中的腺瘤检测率:一个单中心,回顾性,倾向性得分匹配研究与并发的对照
Da Yeon Ham1, Jae Gon Lee2, Chung Il Ahn3
1Division of Gastroenterology, Department of Internal Medicine, Dongtan Sacred Heart Hospital, Hallym University, Hallym University College of Medicine, 7 Keunjaebong-gil, Hwaseong, 18450, Korea.
BMC gastroenterology
|October 23, 2025
概括
实时人工智能 (AI) 在结肠镜检查期间显著提高了腺瘤检测率 (ADR). 这种人工智能辅助的方法在临床实践中增强了多的识别,改善了患者的治疗结果.
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:
- 结肠镜是结肠直肠癌查和预防的关键工具.
- 腺瘤检测率 (ADR) 是结肠镜检查中的关键质量指标.
- 改善ADR可以导致更早的检测和更好的患者结果.
研究的目的:
- 评估实时人工智能 (AI) 辅助的多体检测系统的有效性.
- 确定人工智能协助是否可以提高常规结肠镜实践中的腺瘤检测率 (ADR).
主要方法:
- 进行了一项单中心,回顾性,倾向性得分匹配的研究.
- 分析了2023年3月至2024年2月期间接受人工智能辅助或标准结肠镜检查的1,085名患者的数据.
- 倾向性得分匹配用于控制人工智能辅助和标准结肠镜组之间的基线差异.
主要成果:
- 腺瘤检测率 (ADR) 在人工智能辅助结肠镜组 (35.9%) 与标准结肠镜组 (26.4%) (p=0.002) 相比显著更高.
- 每次结肠镜检测到的腺瘤的平均数量在人工智能辅助组 (0.69 ± 1.22) 与标准组 (0.43 ± 0.91) (p<0.001) 中也显著增加.
- 两组之间检测到晚期腺瘤或状状病变的检测率没有显著差异.
结论:
- 人工智能辅助结肠镜显著提高了在现实世界临床环境中的腺瘤检测率.
- 人工智能技术的整合有望提高结肠镜手术的质量和有效性.
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