Artificial intelligence and machine learning in emergency medicine

被引:96
作者
Stewart, Jonathon [1 ]
Sprivulis, Peter [1 ]
Dwivedi, Girish [1 ]
机构
[1] Royal Perth Hosp, 197 Wellington St, Perth, WA 6000, Australia
关键词
artificial intelligence; deep learning; emergency medicine; machine learning; PREDICTION; INSTABILITY; DIAGNOSIS; RISK;
D O I
10.1111/1742-6723.13145
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Interest in artificial intelligence (AI) research has grown rapidly over the past few years, in part thanks to the numerous successes of modern machine learning techniques such as deep learning, the availability of large datasets and improvements in computing power. AI is proving to be increasingly applicable to healthcare and there is a growing list of tasks where algorithms have matched or surpassed physician performance. Despite the successes there remain significant concerns and challenges surrounding algorithm opacity, trust and patient data security. Notwithstanding these challenges, AI technologies will likely become increasingly integrated into emergency medicine in the coming years. This perspective presents an overview of current AI research relevant to emergency medicine.
引用
收藏
页码:870 / 874
页数:5
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