一个系统的审查的人工智能工具的慢性肺栓塞在CT肺血管造影的肺血管造影
Lojain Abdulaal1,2, Ahmed Maiter1,3,4, Mahan Salehi1
1Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Frontiers in radiology
|April 24, 2024
概括
人工智能 (AI) 工具对使用CT肺血管造影 (CTPA) 诊断慢性肺栓塞 (PE) 和肺高血压 (CTEPH) 有希望. 然而,目前的研究受到AI模型培训和测试不一致的数据报告的限制.
科学领域:
- 医学成像分析 医学成像分析
- 放射学中的人工智能
- 心肺诊断 心肺诊断 医学
背景情况:
- 慢性肺栓塞 (PE) 可能导致肺高血压 (CTEPH).
- 对CT肺血管造影 (CTPA) 解释的AI工具为改善CTEPH诊断提供了潜力.
- 本综述评估了慢性PE和CTEPH中CTPA的AI工具.
研究的目的:
- 确定和评估现有的关于人工智能工具对慢性PE和CTEPH中CTPA的研究.
- 评估AI应用在CTEPH诊断中的质量和发现.
- 突出AI在慢性PE表征中的当前状态和局限性.
主要方法:
- 在2023年9月之前对MEDLINE和EMBASE数据库进行系统审查.
- 包括介绍慢性PE或CTEPH中CTPA人工智能工具的研究.
- 提取模型设计,培训和测试数据;使用医学成像人工智能 (CLAIM) 检查清单进行质量评估.
主要成果:
- 五项研究符合纳入标准,所有研究都使用深度学习人工智能模型进行PE评估.
- 人工智能模型评估了肺膜变化,PE分类和CTEPH严重程度的低 perfusion量化.
- 尽管有可靠的模型设计描述,但培训和测试数据集的报告不一致.
结论:
- 有限的研究存在于AI慢性PE和CTPA通过CTPACTEPH特征与急性PE相比.
- 不一致的数据报告阻碍了人工智能模型的开发和验证.
- 进一步的调查和标准化的报告对于在CTEPH诊断中推进AI至关重要.
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