人工智能和结肠囊内镜的全面审查:机遇和挑战
Joana Mota1,2, Maria João Almeida1,2, Francisco Mendes1,2
1Precision Medicine Unit, Department of Gastroenterology, São João University Hospital, 4200-427 Porto, Portugal.
Diagnostics (Basel, Switzerland)
|September 28, 2024
概括
人工智能 (AI) 可以通过减少阅读时间和增强疾病检测来改善结肠囊内镜 (CCE). 这项技术为传统结肠镜检查提供了一个有希望的,最少侵入性的替代方案.
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:
- 结肠囊内镜 (CCE) 是用于结肠评估的非侵入性工具,但由于阅读时间长,它面临着局限性.
- 由于手动口译的时间密集性,CCE的更广泛实施受到阻碍.
- 人工智能 (AI) 为克服这些局限性提供了一个潜在的解决方案.
研究的目的:
- 审查当前在CCE中AI的应用.
- 讨论人工智能驱动的CCE的技术和道德挑战.
- 探索AI在CCE中的潜力,以实现全肠或全内镜解决方案.
主要方法:
- 在CCE中对现有的AI研究,特别是卷积神经网络 (CNN) 的审查.
- 分析AI在通过CCE检测结肠疾病和改变方面的表现.
- 检查在CCE中对AI的挑战和未来方向.
主要成果:
- 人工智能,特别是CNN,在提高CCE准确性和效率方面显示出显著的希望.
- 人工智能集成可以减少阅读时间,使CCE更实用.
- 人工智能驱动的CCE可能会导致最小侵入性的全肠或全内镜检查.
结论:
- 人工智能有很大的潜力来增强结肠囊内镜,解决目前的局限性.
- 需要进一步的研究和伦理考虑,以扩大人工智能驱动的CCE的指示范围.
- 人工智能驱动的CCE可以提供更有效和更全面的诊断工具,可能带来环境效益.
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