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人工智能在内镜中的诊断准确性:总体审查

Bowen Zha¹, Angshu Cai¹, Guiqi Wang¹

¹Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

JMIR medical informatics

|August 2, 2024

概括

人工智能 (AI) 在内镜诊断方面表现有前途,特别是在食道和结肠直肠疾病方面. 然而,目前的证据质量很低,需要进一步的高质量研究来确认AI.

科学领域:

医学成像和诊断医学成像和诊断
医疗保健中的人工智能
胃肠病学和内镜检查

背景情况:

现有的关于人工智能 (AI) 在内镜中的诊断价值的研究提出了相互矛盾和质量变化的证据.
在各种内镜手术中,AI诊断准确性的可信性需要进行全面和系统的评估.

研究的目的:

进行彻底的审查和评估关于人工智能 (AI) 在内镜中的诊断准确性的证据质量.
在内镜检查中评估人工智能驱动的诊断结果的可靠性.

主要方法:

在PubMed,科学网,Embase和Cochrane图书馆的系统文献搜索.
使用测量工具来评估系统性审查2 (AMSTAR2) 的包含研究的质量评估.
使用推,评估,开发和评估 (GRADE) 框架对结果进行重新计算和可信度评估.

主要成果:

分析了21项研究,大多数研究的方法质量低或非常低 (AMSTAR2).
人工智能对胃食道逆流症具有高灵敏度 (97%),对结肠直肠癌具有高特异性 (98%).
人工智能诊断结果的整体可信度被评为低或非常低 (GRADE),尽管某些特定条件的准确率很高.

结论:

人工智能 (AI) 在内镜诊断中具有潜在价值,特别是在食道和结直肠疾病中.
这些发现支持开发人工智能辅助的内镜系统,以改善患者护理.
高质量的研究对于严格验证人工智能在内镜中的有效性和可靠性至关重要.

关键词:

在这里,我们可以看到AIAIAI.人工智能的人工智能是人工智能.评估评估的评估评估的评估.诊断诊断诊断的诊断诊断诊断的诊断通过内镜检查 (endoscopy) 进行内镜检查进行元分析.研究人员研究员研究员研究人员研究人员研究人员研究人员研究人员研究人员.工具工具工具工具工具工具工具工具工具雨评价雨评价

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