ABSTRACT
Trauma has the characteristics of complex disease, high disability rate and fatality rate, which adds difficulty to treatment. Due to the limitation of medical conditions and untimely allocation of resources, the current trauma treatment modes still have shortcomings such as low first aid efficiency and irregular application, and hence the treatment is facing enormous challenges. In the process of trauma treatment, a large amount of dynamic data that are valuable for disease diagnosis and treatment will be generated. Big data and artificial intelligence technology is an algorithm that can reasonably predict or estimate the given data based on large-scale data collection, and has been applied to trauma treatment modes. The efficient and accurate statistical analysis of big data and innovative medical technology directions such as machine learning, planning and decision-making not only improve the efficiency and safety of trauma treatment, but also reduce the workload of clinicians, making up for the shortcomings of traditional trauma treatment modes. The authors mainly review the application of big data and artificial intelligence technology in pre-hospital first aid and in-hospital diagnosis and treatment for trauma patients, in order to provide a reference for trauma treatment.