基于人工智能的软件与CE标志用于胸部X射线解释:机遇和挑战
Salvatore Claudio Fanni1, Alessandro Marcucci1, Federica Volpi1
1Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy.
Diagnostics (Basel, Switzerland)
|June 28, 2023
概括
人工智能 (AI) 软件增强了胸部X射线 (CXR) 解释,解决了灵敏度和范围的限制. 有CE标记的AI工具可用于检测肺结核和肺结节等疾病.
科学领域:
- 放射学和医学成像学 医学成像学
- 医疗保健中的人工智能
- 计算机辅助检测 计算机辅助检测
背景情况:
- 胸部X射线 (CXR) 是一种主要的诊断工具,但在灵敏度和范围方面存在固有的局限性.
- 这些局限性需要先进的解释方法,这导致了基于AI的软件的开发.
- 人工智能 (AI) 提供了潜在的解决方案,以提高CXR分析的准确性和效率.
研究的目的:
- 识别和分类可用于胸部X射线解释的CE标记AI软件.
- 评估AI软件在诊断来自CXR的各种胸部疾病中的应用.
- 了解人工智能工具的当前环境,以增强CXR分析.
主要方法:
- 对"放射学AI"在线数据库进行了系统的搜索.
- 搜索的重点是识别专门为CXR解释而设计的CE标志AI软件.
- 鉴定的研究和软件根据目标疾病或应用程序进行了分类.
主要成果:
- 人工智能驱动的计算机辅助检测软件越来越多地用于肺结核查和分类,特别是在资源有限的环境中.
- 人工智能软件在肺结节检测,阳性病例的自动标记和数字骨抑制中展示了价值,以改善图像后处理.
- 大多数CE标记的CXR人工智能软件包旨在检测多个发现,每个发现的灵敏度和特异性各不相同.
结论:
- 具有CE标志的AI软件正在成为传统胸部X射线解释的有价值补充.
- 人工智能应用范围从疾病查 (如结核病) 到结节检测和图像增强.
- 需要进一步评估不同人工智能工具和发现的敏感性和特异性.
关键词:
有CE标志的 CE标志.人工智能的人工智能是人工智能.胸部c-ray图片 胸部c-ray图片 胸部c-ray图片 胸部c-ray图片深度学习是一种深度学习.肺部结节 肺部结节肺结核 - 肺结核更多相关视频
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