Review of Deep Learning Applications in Healthcare

With the rapid development and integration of biomedicine and information technology, massive amounts of imaging data, patient report data, electronic health records, and omics data have been accumulated rapidly in healthcare.These data are cha-racterized by complexity, heterogeneity and high dimensionality.Deep learning has the ability of complex function simulation and automatic feature learning, which can provide efficient technical support for research in medical diagnosis and drug development.Currently, deep learning has been extremely successful in medical imaging and further more, some medical imaging diagnostic systems based on deep learning have achieved performance that is even comparable to that of relevant experts.Due to the progress of natural language processing technology, deep learning has also made remarkable progress in the use of non-image data tasks.This paper first briefly describes the development of deep learning in healthcare.Subsequently, the application of deep learning model in heal