人工智能在增强机械通风中的作用 - - 未来的一目
Neeraj Pal Singh1, Masood Ali Mujawar1, Akash Golani1
1Division of Critical Care Medicine, Department of Anesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
Indian journal of anaesthesia
|July 14, 2025
概括
人工智能 (AI) 通过改善患者的治疗结果和运营效率来增强机械通风 (MV). 人工智能和医疗保健专业人员之间的合作对于在重症监护中安全有效实施至关重要.
科学领域:
- 临界护理医学 临界护理医学
- 医疗信息学 医疗信息学
- 生物医学工程 生物医学工程
背景情况:
- 机械通风 (MV) 是呼吸衰竭的生命支持治疗方法.
- 与MV相关的风险包括呼吸器诱导的肺损伤,呼吸器相关的肺炎和患者呼吸器异步.
- 人工智能 (AI) 的进步为减轻这些风险提供了潜在的解决方案.
研究的目的:
- 探索人工智能的最新进展,以提高机械通风 (MV).
- 突出AI在减少MV相关并发症和改善患者治疗结果方面的潜力.
- 讨论在MV中实施AI的实际挑战和伦理考虑.
主要方法:
- 关于机械通风中的AI应用的当前文献的综述.
- 分析人工智能技术,如机器学习,自然语言处理和预测分析.
- 讨论临床整合挑战和伦理影响.
主要成果:
- 在MV中集成人工智能可以导致实时监控,个性化通风策略和早期并发症检测.
- 人工智能有望改善患者的治疗结果,并提高重症监护机构的运营效率.
- 实施面临的障碍包括数据质量,隐私,标准化,互操作性和算法透明度.
结论:
- 人工智能对彻底改变机械通风和重症监护具有重大前景.
- 解决实际和道德方面的问题对于成功采用人工智能至关重要.
- 人工智能开发人员和医疗保健专业人员之间的协作方法对于患者安全至关重要.
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