Artificial intelligence in emergency medicine

Nan Liu, Zhongheng Zhang, Andrew Fu Wah Ho, Marcus Eng Hock Ong


Emergency medicine has witnessed increasing interest in the use of artificial intelligence (AI) and machine learning algorithms for numerous applications. This paper provides an updated summary of recent development in AI in emergency medicine. We categorize the studies into three domains, namely AI in predictive modeling, AI in patient monitoring, and AI in emergency department operations. Though this categorization is not meant to be exhaustive, it captures most of the AI applications in emergency medicine. Many AI methods such as classification and clustering algorithms, natural language processing, and text mining have been well investigated, but image understanding, computer vision, and robotics are yet to be explored. This leaves enough space for future endeavors in emergency medicine on applying AI and machine learning techniques to solve clinical problems.