人工智能在重症监护营养支持和研究中的作用
Hannah D Kittrell1,2,3, Ahmed Shaikh4, Peter A Adintori5,6
1The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
概括
人工智能 (AI) 提供了在重症监护中个性化营养的潜力. 虽然目前的人工智能使用仅限于查,但其整合数据的能力承诺优化患者结果.
科学领域:
- 关键护理医学 关键护理医学
- 营养科学 营养科学
- 医疗信息学医学信息学
背景情况:
- 营养对于重症患者至关重要,但最佳策略仍在争论中.
- 重症监护室 (ICU) 产生大量数据,使人工智能应用成为可能.
- 人工智能越来越多地用于医学,包括重症监护.
研究的目的:
- 审查目前关于人工智能 (AI) 在重症监护营养应用的证据.
- 探索AI在ICU个性化营养管理方面的潜力.
主要方法:
- 对人工智能在重症监护营养中的应用进行文献综述.
- 分析AI在营养不良查和肠道营养耐受性方面的作用.
- 讨论AI在整合各种患者数据流方面的潜力.
主要成果:
- 目前在重症监护营养领域的人工智能应用有限.
- 主要用途包括营养不良查和评估肠道营养耐受性.
- 人工智能显示出个性化营养干预的巨大潜力.
结论:
- 人工智能有望通过定制干预来优化重症监护营养.
- 整合多个数据流使人工智能能够解决患者异质性问题.
- 成功实施人工智能需要采用多学科的方法,并关注数据管理,成本和隐私.
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