Abstract: As a main carrier of information in medical area, texts can hardly be analyzed directly in bulk because of their unstructured formats. Natural language processing is a tool to convert the natural language into computer language, which has been widely applied with the development of deep learning in text processing. Named entity recognition, a subtask of natural language processing, plays an important role in knowledge base construction and information extraction. In regard to the application of named entity recognition in medical text analysis, this article introduces the mainstream methods and data sources to illustrate the advantages of deep learning in this area, so as to give more reference for researchers in the field.