摘要
近年来,人工智能在重症医学领域产生了一系列研究成果,很多算法模型通过临床试验验证,开始帮助临床医师制定临床决策.文章通过阐述目前人工智能在重症医学领域的应用进展,让临床医师了解人工智能如何为重症医学临床服务.介绍ICU所产生数据(时序数据、图像数据、文本数据、离散数据)结构域特点,论述重症医学领域的预警模型,基于重症监护医学信息集(medical information mart for intensive care,MIMIC)数据库的重症医学研究,就当前该领域的最新进展予以介绍.基于人工智能技术的应用,医护人员能更及时地发现临床问题,更好地制定临床决策,更有利于提高对重症患者的临床服务能力.
Artificial intelligence technology has produced a series of advanced models and algorithms in the field of critical care.Many model applications have been tested by clinical trials to support the physicians′optimal clinical decision making.In this review,we will introduce application progresses of artificial intelligence in intensive care.This review aims to make clinicians understand how artificial intelligence serve in critical care medicine.The major contents of this review include introducing characteristics of data in intensive care unit(ICU),e.g.,time series,image,text and discrete data.Early warning models in the field and research based on medical information mart for intensive care(MIMIC)database will be discussed in detail.Based on the application of artificial intelligence,clinicians will make better clinical decisions in a timely manner so as to improve clinical service ability for caring critical patients.
作者
谢芳
薄禄龙
卞金俊
Xie Fang;Bo Lulong;Bian Jinjun(Department of Anesthesiology,Changhai Hospital,Naval Medical University,Shanghai 200433,China)
出处
《国际麻醉学与复苏杂志》
CAS
2019年第10期973-976,共4页
International Journal of Anesthesiology and Resuscitation
基金
上海市优秀青年医学人才培养计划(2017YQ015)
上海市青年科技启明星计划(19QA1408500)。
关键词
人工智能
大数据
重症医学
重症监护治疗病房
Artificial intelligence
Big data
Critical care medicine
Intensive care unit