在儿科麻醉中使用人工智能:系统性审查
Ryan Antel1, Ella Sahlas1, Genevieve Gore2
1Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
BJA open
|August 17, 2023
概括
人工智能 (AI) 在儿科麻醉中的应用正在出现,重点是风险预测和监测. 数据质量和验证等障碍阻碍了这些AI工具的广泛临床整合.
科学领域:
- 医疗信息学 医疗信息学
- 儿科麻醉学 儿科麻醉学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在医学的发展正在迅速推进.
- 人工智能在儿科麻醉中的应用仍未得到充分探索.
- 儿科手术室产生大量数据,需要先进的决策支持工具.
研究的目的:
- 系统地审查当前在儿科麻醉中的人工智能应用.
- 识别阻碍人工智能技术在这一领域的整合障碍.
主要方法:
- 在PROSPERO注册的系统审查 (CRD42022304610).
- 在五个主要的电子数据库 (Embase,Medline,Central,Scopus,Web of Science) 进行了搜索.
- 包括的研究重点是人工智能在外科小儿麻醉 (<18岁) 中的使用.
主要成果:
- 从最初的3313个记录中,包括了40项研究.
- 关键的人工智能应用包括风险因素预测 (60%),生理监测 (15%) 和气道设备选择 (7.5%).
- 使用的人工智能领域包括机器学习,计算机视觉,模糊逻辑和自然语言处理.
结论:
- 新兴的文献支持儿童麻醉中的AI,有可能改善患者的治疗结果.
- 临床整合仍然存在重大障碍,包括数据质量差,外部验证不足和有限的概括性.
- 解决这些障碍对于实现人工智能在儿科麻醉中的全部潜力至关重要.
相关概念视频
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