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.