人工智能辅助结肠镜检测组织学缓解并预测性结肠炎患者的结果:系统性审查
Yasuharu Maeda1, Shin-Ei Kudo2, Giovanni Santacroce3
1Digestive Disease Center, Showa University Northern Yokohama Hospital, 35-1 Chigasaki-chuo, Tsuzuki, Yokohama 224-8503, Japan; APC Microbiome Ireland, College of Medicine and Health, University College Cork, Cork, T12 YT20, Ireland.
概括
人工智能 (AI) 辅助结肠镜显示在预测性结肠炎缓解和复发方面具有很高的准确性. 虽然对临床结果有希望,但对于广泛采用仍然存在挑战.
科学领域:
- 胃肠病学 胃肠病学
- 医疗人工智能 医疗人工智能
- 内镜成像系统的成像
背景情况:
- 性结肠炎 (UC) 的诊断和监测依赖于组织学,这是侵入性的和耗时的.
- 人工智能 (AI) 正在成为提高胃肠内镜诊断准确性和效率的工具.
- 人工智能辅助结肠镜可能提供一种非侵入性方法来评估组织学缓解,并预测UC患者的临床结果.
结论:
- 人工智能辅助结肠镜为评估UC缓解和预测患者结果提供了有价值的工具.
- 需要进一步的研究和克服实施障碍,才能充分发挥其临床潜力.
- 这项技术可以通过提供客观和及时的评估来加强性结肠炎的管理.
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