A representative collection of breakthrough papers is selected, the linguistic features of abstracts are analyzed, and the characteristic sentence patterns are extracted and the abstract moves are divided. Thus, an abstract recognition model for medical breakthrough papers is constructed by using deep learning algorithm. The empirical results show that the model is applicable in specific medical fields and provides references for early discovery of breakthrough papers.