人工智能增强囊内镜在临床实践中的整合:对临床实践市场可用的工具的审查
Antonio Giordano1,2, Cristina Romero-Mascarell3, Begoña González-Suárez4
1Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041, Barcelona, Catalonia, Spain. agiordano@santpau.cat.
Digestive diseases and sciences
|June 9, 2025
概括
囊内镜中的人工智能 (AI) 提高了胃肠道诊断和阅读效率. 然而,当前的人工智能系统仍然错过了许多病变,需要进一步验证和标准化才能可靠的临床使用.
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:
- 囊内镜是小肠评估的关键工具.
- 人工智能 (AI) 的整合旨在提高诊断准确性和效率.
- 商业人工智能驱动系统越来越多地可用于临床使用.
研究的目的:
- 审查AI驱动的囊内镜系统的临床应用.
- 评估当前人工智能系统的诊断性能,好处和局限性.
- 讨论AI在囊内镜中的挑战和未来方向.
主要方法:
- 分析最近的临床试验和观察性研究.
- 商业上可用的AI驱动囊内镜系统的评估.
- 讨论包括标准化,数据质量和临床验证在内的挑战.
主要成果:
- 人工智能系统显著减少了阅读时间,并显示了高的检测率.
- 检测能力根据特定的AI算法和囊设备而异.
- 目前的AI系统仍然无法检测到显著比例的胃肠道病变.
结论:
- 人工智能增强了囊内镜,但尚未完全取代人类审查.
- 未来的研究必须提高AI检测率,并验证遗漏病变的临床意义.
- 人工智能算法的标准化和同质化框架对于广泛采用至关重要.
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