人工智能在结肠镜中的翻译
Jabed Ahmed1, Ahmed El-Sayed2, Rawen Kader3
1Gastroenterology Department, Imperial College NHS Trust, London, UK.
Digestion
|October 13, 2025
概括
人工智能 (AI) 在结肠镜检查中显著提高了腺瘤检测率,但面临着实施挑战. 未来的胃肠病学人工智能需要无集成,临床医生参与,并解决成功采用偏见的问题.
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:
- 人工智能 (AI) 在胃肠病学,特别是结肠镜学方面取得了快速进展.
- 结肠镜的高手术量和质量可变性使其成为人工智能效益的理想选择.
- 这篇评论总结了AI更新,益处和临床胃肠病学中的挑战.
研究的目的:
- 审查用于胃肠道学的人工智能的最新进展.
- 评估AI在临床实践中实施的当前好处和挑战.
- 概述人工智能在胃肠病学中的未来方向.
主要方法:
- 关于胃肠病学AI的当前文献的综述.
- 对人工智能系统的随机对照试验的分析.
- 评估实施的挑战和未来的研究需求.
主要成果:
- 计算机辅助检测 (CAD) 系统显著提高了结肠镜检查中的腺瘤检测率.
- CAD系统面临着现实世界的实施障碍,包括报销和工作流集成.
- 人工智能在炎症性肠病 (IBD) 中表现有前途,用于疾病得分和复发预测.
- 计算机辅助诊断和质量系统处于早期阶段,结果各不相同.
结论:
- 人工智能采用取决于工作流集成,人-人工智能互动,成本效益和临床医生的认可.
- 解决公平,问责和偏见对于成功实施人工智能至关重要.
- 未来的人工智能应用可能包括多模式系统,个性化监控和治疗干预.
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