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人工智能在结肠镜检查中的使用现状
Masashi Misawa1, Shin-Ei Kudo1
1Digestive Disease Center, Showa University Northern Yokohama Hospital, Tsuzuki, Yokohama, Japan.
Digestion
|December 26, 2024
概括
人工智能 (AI) 系统通过改善多体检测,特别是小型腺瘤来增强结肠镜. 然而,人工智能 (AI) 的
科学领域:
- 胃肠内镜检查 胃肠内镜检查
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在改变医学成像,特别是在胃肠内镜中.
- 计算机辅助检测和诊断 (CADe和CADx) 系统旨在提高结肠镜检查质量.
研究的目的:
- 评估人工智能辅助系统在结肠镜检查期间对腺瘤检测和聚分化的影响.
- 评估AI在增强结直肠癌查方面的潜力.
主要方法:
- 深度学习算法被用于人工智能辅助的结肠镜系统.
- 系统专注于实时检测 (CADe) 和组织病理学预测 (CADx).
主要成果:
- 人工智能系统显示,有可能将腺瘤检测率提高8%-10%,主要是针对小腺瘤.
- 人工智能对检测先进瘤的影响有限.
- 进展包括实时CADe和CADx,用于区分瘤和非瘤病变.
结论:
- 人工智能在改善结肠镜检测过程中的多体检测方面表现有希望,但需要大规模试验来验证长期益处.
- 人工智能在减少结直肠癌发病率和死亡率方面的有效性尚未得到证实.
- 需要进一步的前性研究来确定AI在结肠镜中的临床实用性.
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