人工智能对克罗恩病和胃肠结核的歧视:系统性审查
Anurag Sachan1, Rinkalben Kakadiya1, Shubhra Mishra1
1Department of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
人工智能 (AI) 在区分胃肠结核病 (GITB) 和克罗恩病 (CD) 方面表现有前途. 人工智能模型实现了高精度,表明了改进诊断工具的潜力.
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:
- 区分胃肠结核病 (GITB) 和克罗恩病 (CD) 是一个临床挑战.
- 人工智能 (AI) 为改善诊断准确性提供了潜在的解决方案.
研究的目的:
- 系统地审查人工智能技术在GITB和CD中的应用.
- 评估AI在区分这些条件中的性能和方法.
主要方法:
- 对使用人工智能进行GITB和CD歧视的研究进行了系统审查.
- 在PubMed和Embase数据库的搜索中,发现了在2022年6月6日之前发表的相关研究.
- 使用人工智能技术的临床,内镜或放射学数据的研究被纳入并对质量进行评估.
主要成果:
- 九项研究符合纳入标准,所有研究都采用了回顾性数据.
- 人工智能模型在区分GITB和CD时表现出高精度 (69.6-100%) .
- 基于内镜的AI是最常见的,卷积神经网络和分类和回归树经常使用AI技术.
结论:
- 人工智能在区分GITB和CD方面表现出可接受的准确性.
- 与传统方法相比,多参数AI模型需要进一步调查,因为它们可能是优越的诊断工具.
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