人工智能驱动的结肠镜能否改变结肠直肠癌查的未来?
Mircea Mănuc1, Cătălin-Andrei Duței2, Teodora-Ecaterina Mănuc1
1Department of Gastroenterology, "Carol Davila" University of Medicine and Pharmacy, Bucharest 050474, Romania.
World journal of gastroenterology
|November 24, 2025
概括
人工智能 (AI) 通过提高结肠镜检查和病变检测的准确性来增强结肠直肠癌查,可能降低死亡率. 解决实施挑战是广泛采用人工智能辅助查的关键.
科学领域:
- 胃肠病学 胃肠病学
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 结肠直肠癌 (CRC) 是全球癌症死亡的主要原因.
- 有效的查,包括结肠镜检查,对于早期检测和改善生存是至关重要的.
- 传统的结肠镜面临的局限性,如由于操作员技能和可见性问题而错过的病变.
研究的目的:
- 审查传统结直肠癌查方法的挑战.
- 评估人工智能 (AI) 对结直肠癌诊断流量的影响.
- 突出AI在结直肠癌查中的优点和局限性.
主要方法:
- 对用于结直肠癌查的人工智能工具的文献综述.
- 对人工智能应用程序,新兴程序和指南的分析.
- 专注于人工智能辅助的结肠镜,用于病变识别和光学诊断.
主要成果:
- 使用深度学习的AI驱动的结肠镜可以提高腺瘤,状病变和癌症的检测率.
- 人工智能增强了腺瘤检测,特别是对于经验较少的从业者来说,与专家的表现相匹配.
- 人工智能集成有助于培训,标准化程序,提高整体查准确性和效率.
结论:
- 人工智能具有显著的潜力,可以通过改善早期检测和降低死亡率来彻底改变结直肠癌查.
- 必须解决诸如实施成本,数据隐私和临床验证的需求等挑战.
- 在CRC选中广泛采用AI取决于克服这些实施障碍.
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