基于人工智能的计算机辅助检测 (CAD) 系统和内镜师在内镜视频上检测结肠直肠瘤病变的能力的比较
Yoshitsugu Misumi1, Kouichi Nonaka1, Miharu Takeuchi1
1Department of Digestive Endoscopy, Tokyo Women's Medical University Hospital, 8-1, Kawada-Chou, Shinjuku-Ku, Tokyo 162-8666, Japan.
Journal of clinical medicine
|July 29, 2023
概括
人工智能计算机辅助诊断 (CAD) 系统在改善结肠镜检查质量方面表现有前途. 在视频分析中,CAD与专家的表现相匹配,在检测结直肠病变方面表现优于初学者.
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:
- 使用人工智能 (AI) 的计算机辅助诊断 (CAD) 系统已经取得了重大进展.
- 人工智能CAD系统可以提高腺瘤检测率 (ADR),这是一个关键的结肠镜质量指标.
- 有限的研究存在于AI-CAD与临床视频的有效性,没有人直接将其与使用相同视频案例的对照进行比较.
研究的目的:
- 评估AI-CAD与内镜师在视频中识别结直肠瘤病变方面的优势.
- 将AI-CAD的性能与专家和初学者内镜师进行比较.
主要方法:
- 在21个结肠镜视频病例中分析了34个结肠直肠瘤病变.
- 在AI-CAD和六名内镜师 (三名专家,三名初学者) 之间直接比较病变检测性能.
- 对所有参与者和AI-CAD系统的病变检测时间的测量.
主要成果:
- 在6名内镜师中,AI-CAD的表现超过了4名内镜师,包括所有初学者内镜师.
- 与专家和AI-CAD相比,初学者的病变检测时间明显更长 (p < 0.001).
- 在专家内镜师和AI-CAD (p = 1.000) 之间没有观察到检测时间的显著差异.
结论:
- 人工智能CAD系统在视频中检测结直肠病变方面,表现与专家内镜师相提并论.
- 人工智能CAD可以作为一种有价值的诊断支持工具,有可能减少初学者内镜师的经验差距.
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