RESUMO
Artificial intelligence (AI) is one of the hottest research topics. The development of AI technology not only brings convenience to people's lives, but also integrates with other frontier fields to aid in data processing and result prediction. Deep learning is one of the emerging technologies that demonstrate outstanding performances. In this paper, the wide application of deep learning technology in many fields of biomedicine was summarized, common methods and models were briefly introduced including artificial neural network, deep neural network, convolutional neural network and recurrent neural network. Besides, the application of deep learning in biomedical image analysis, omics data processing and protein spatial structure prediction was summarized, and its limitations and development prospects in the above applications were briefly discussed.