在重症监护中利用人工智能:机会,挑战和成功的关键步骤
Alexandre Kalimouttou1, Robert D Stevens2, Romain Pirracchio3
1Anesthesia and Critical Care, Grenoble Alpes University Hospital, Grenoble, France.
Thorax
|June 15, 2025
概括
在重症监护室 (ICU) 的人工智能 (AI) 显示出希望,但面临着采用障碍. 解决数据质量,验证和信任问题是成功将人工智能整合到重症监护中的关键.
科学领域:
- 关键护理医学 关键护理医学
- 医疗人工智能的人工智能
背景情况:
- 人工智能 (AI) 在重症监护中提供了潜在的好处,包括加强诊断和个性化治疗.
- 然而,由于各种挑战,人工智能工具在重症监护室 (ICU) 的广泛采用是有限的.
研究的目的:
- 综合人工智能在重症监护中的研究.
- 评估已批准的AI工具,并在ICU的AI生命周期中识别挑战和机会.
主要方法:
- 在2000-2025年期间,对AI在重症监护中进行了全面的文献搜索.
- 审查的重点是数据收集,建模,验证,实施和部署后监测阶段.
主要成果:
- 在ICU中人工智能研究受到数据质量差以及缺乏前性验证的阻碍.
- 由于信任问题,整合困难和影响不清楚,已批准的AI工具在临床采用方面面临较低的挑战.
- 应对人工智能生命周期挑战需要现实世界的数据集成,性能监测和道德考虑.
结论:
- 成功地将人工智能整合到重症监护中,需要跨学科的合作,强大的验证和适应性治理.
- 保持科学严谨与快速部署的平衡至关重要.
- 透明度,安全性和工作流程对齐对于有效的AI实施至关重要.
关键词:
关键的护理关键的护理相关概念视频
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