人工智能和信息学在新生儿复苏中的应用
Regine M Fortunov1, Erwin Cabacungan2, James S Barry3
1Division of Neonatology, Baylor College of Medicine, Houston, TX, United States.
Seminars in perinatology
|November 2, 2024
概括
新生儿重症监护室 (NICU) 的数据驱动精确复苏需要更好的信息学和人工智能 (AI) 工具. 改善数据采集和人工智能采用对于提高新生儿护理和培训至关重要.
科学领域:
- 新生儿重症监护室新生儿重症监护室
- 医疗信息学医学信息学
- 医疗保健中的人工智能
背景情况:
- 新生儿重症监护室 (NICU) 的复苏护理正在发展,越来越依赖数据.
- 目前数据的不足利用源于数据采集,聚合和AI/分析工具的低采用.
研究的目的:
- 审查NICU复苏护理中信息学和人工智能 (AI) 工具的基础知识和证据.
- 探索新生儿复苏的培训和教育中的应用.
主要方法:
- 在新生儿复苏中对信息学和人工智能工具的文献综述.
- 分析数据捕获,聚合和人工智能采用的挑战.
- 审查伦理考虑,包括数据隐私,偏见和责任.
主要成果:
- 需要有效的接口设计才能准确地捕获数据.
- 数据必须通过分析和人工智能来存储和转化为可操作的见解.
- 关键的挑战包括数据隐私,偏见,责任和道德框架.
结论:
- 信息学和人工智能在改善新生儿复苏方面具有重大前景.
- 对新生儿群体中这些应用的进一步研究是必不可少的.
- 在临床医生中提高对信息学和人工智能原则的认识对于成功采用是必不可少的.
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