从语音到预后:人工智能驱动的量化胸部CT分析预测78例COVID-19病例的ICU需求
Rudolf Bumm1, Paolo Zaffino2, Andras Lasso3
1Department of Thoracic Surgery, Kantonsspital Graubünden, Chur, Switzerland.
Research square
|June 19, 2023
概括
对COVID-19肺部参与的AI分析显示,在下叶和后部区域的疾病更高. 较大的肺部参与与重症监护室 (ICU) 的入院相关,AI与专家准确度相匹配.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 肺部病理学 肺部病理学
背景情况:
- 使用人工智能辅助分析调查COVID-19患者肺部参与的分布和程度.
- 评估肺部感染严重程度与需要进入重症监护室 (ICU) 之间的相关性.
- 将自动化计算机分析与专家放射学判断的有效性进行比较.
结论:
- 肺部感染的程度,特别是在下部和后部区域,可以预测COVID-19患者的ICU入院情况.
- 人工智能分析显示,它是评估临床环境中肺部参与的可靠工具.
- 研究结果可以为当前和未来的流行病提供临床决策和资源分配的信息.
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