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The treatment for acute respiratory failure varies based on factors like the underlying cause, overall health, and severity. A collaborative healthcare team is essential for early detection, often through arterial blood gas analysis. Identifying the cause is the primary goal, with treatment strategies adjusted for ventilation/perfusion (V/Q) mismatch, shunting, or diffusion impairment.
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Respiratory assessment is a cornerstone of nursing assessments, crucial for the early detection of patient deterioration. This evaluation transcends routine procedures, representing a critical skill nurses must master to ensure optimal patient care.
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人工智能在呼吸系统护理中的应用

Manjush Karthika1, Jithin K Sreedharan2, Madhuragauri Shevade3

  • 1Faculty of Medical and Health Sciences, Liwa College, Abu Dhabi, United Arab Emirates.

Frontiers in digital health
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概括

人工智能 (AI) 越来越多地用于医疗保健,特别是在呼吸系统医学中. 了解人工智能对于呼吸护理专业人员来说至关重要,以改善患者的治疗结果和安全.

关键词:
人工智能的人工智能是人工智能.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 机械通风呼吸系统护理 呼吸系统护理

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科学领域:

  • 医疗信息学 医疗信息学
  • 人工智能在医学中的应用
  • 呼吸系统护理技术技术

背景情况:

  • 人工智能 (AI) 概念在20世纪70年代出现,随着对医疗保健的日益整合.
  • 尽管最初存在障碍,但人工智能在医学中的实用性正在跨专业扩大,提高精准医学,诊断和预后.
  • 人工智能应用在呼吸系统医学方面尤其有前途,包括机械通风,睡眠研究和诊断.

研究的目的:

  • 概述人工智能在呼吸护理中的当前和未来应用.
  • 强调人工智能意识和标准化理解对医疗保健专业人员的重要性.
  • 突出AI在改善呼吸系统医学中的患者护理和安全方面的作用.

主要方法:

  • 关于人工智能在呼吸系统医学中的应用现有文献的综述.
  • 对人工智能对精准医学,呼吸护理诊断和预后的影响的分析.
  • 讨论AI在机械通风和肺功能诊断等专业领域的作用.

主要成果:

  • 人工智能算法在各种呼吸系统医学子专业领域显示出有希望的结果.
  • 增加人工智能的实用性正在提高诊断准确性和预测能力.
  • 人工智能集成有可能显著提高患者护理质量和安全.

结论:

  • 人工智能是呼吸护理领域的一个变革性技术,应用范围不断扩大.
  • 呼吸护理专业人员对人工智能的更好理解和采用至关重要.
  • 需要标准化的指导方针和可访问的知识,才能充分利用AI在呼吸医学中的潜力.