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Updated: Jun 22, 2025

Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns
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Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns

Published on: September 16, 2019

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开发和验证深度学习分类器,使用胸部放射图来预测在接受侵入性机械通风的患者中输出管成功的情况

Pranai Tandon1, Kim-Anh-Nhi Nguyen2, Masoud Edalati2

  • 1Department of Medicine Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Bioengineering (Basel, Switzerland)
|June 27, 2024
PubMed
概括

这项研究引入了使用胸部X射线的深度学习模型,以预测机械通风患者的输出管成功. 人工智能模型显示了比传统方法更好的性能,有助于临床决策.

关键词:
人工智能的人工智能是人工智能.临床决策支持 临床决策支持深度学习是一种深度学习.机器学习是机器学习.机械通风 机械通风 机械通风呼吸衰竭是指呼吸系统的衰竭.转移学习转移学习呼吸机释放的释放方式

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