炎症性肠病内镜中的人工智能 - - 对当前证据的审查以及对未来挑战的批判性观点
Ilaria Lodola1,2, Ferdinando D'Amico1,2, Silvio Danese1,2
1Department of Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy.
人工智能 (AI) 正在通过内镜改变炎症性肠病 (IBD) 的诊断和监测. 人工智能在标准化性结肠炎和克罗恩病的严重程度评估方面表现有前途,改善了患者的护理.
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:
- 炎症性肠病 (IBD) 是一种慢性疾病,其全球流行率正在增加.
- 目前的内镜诊断和监测依赖于主观的人类评估,导致变化和潜在错误.
- 人工智能 (AI) 提供了一个潜在的解决方案,以提高IBD内镜中的客观性和效率.
研究的目的:
- 审查人工智能在炎症性肠病 (IBD) 内镜中的当前应用.
- 总结有关AI在IBD诊断和监测中的关键研究研究.
- 探索人工智能在治疗IBD方面的未来潜力.
主要方法:
- 对IBD内镜中的AI应用现有文献的综述.
- 对专注于人工智能治疗性结肠炎 (UC) 和克罗恩病 (CD) 严重程度评估的研究分析.
- 探索AI在病变识别,差异诊断和数据集成中的作用.
主要成果:
- 人工智能应用在复制UC严重性的人类评估方面显示出有希望的结果.
- 人工智能正在开发用于自动化CD的囊内镜读数.
- 人工智能正在被探索为高级任务,如失塑性病变的检测和治疗指导.
结论:
- 人工智能有可能显著提高IBD内镜诊断和监测的准确性,标准化和效率.
- 虽然UC的研究更先进,但CD的AI正在取得进展.
- 未来将人工智能整合到IBD护理中可能会导致更个性化,更有效的治疗策略.
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