在日本临床实践中对基于人工智能的结肠镜质量评估工具的外部验证:试点研究
Hiroaki Saito1,2,3, Evandros Kalamanos4, Kristjana Kristinsdottir4
1Department of Gastroenterology, Sendai Kousei Hospital, 1-20, Tsutsumidoriamamiyamachi, Aoba-ku, Sendai, Miyagi, 9800873, Japan. h.saito0515@gmail.com.
一种用于结肠镜质量评估的AI工具 (AI-CQ) 在日本实践中显示出可行性,与手工插入时间中等相关,与提取时间有很大关系. 像高质量的等待时间这样的新指标对程序质量指标显示出希望.
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:
- 有限的人工智能工具可用于全面评估结肠镜质量.
- 这项研究验证了一种基于AI的结肠镜质量评估工具 (AI-CQ) 在日本临床环境中.
研究的目的:
- 在日本,对AI-CQ工具进行外部验证,用于测量结肠镜质量指标.
- 评估AI-CQ测量和专家内镜师手动评估之间的相关性.
主要方法:
- 使用奥林巴斯设备对40次查结肠镜进行了回顾性分析.
- AI-CQ测量 (插入时间,退出时间,高质量的退出时间) 与手动评估的比较.
- 通过AI-CQ评估腔输管识别率.
主要成果:
- 通过AI-CQ实现了97.5%的腔输管识别.
- 在AI-CQ和手动评估之间,插入时间的中等相关性 (ρ=0.48) 和退出时间的强相关性 (ρ=0.70).
- 高质量的停药时间与内镜医生的经验和多检测有显著的关联.
结论:
- 在日本,AI-CQ可用于结肠镜质量评估,相关性因尺度而异.
- 像高质量的等待时间这样的新型指标显示出表明程序质量的潜力.
- 由于试点性质和探索性发现,建议在更大的队列中进一步验证.
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