The widespread use of genetic information through next-generation sequencing technologies and the rapid growth of biomedical publications have ushered in the big data era in the field of cancer genomics. Incorporating artificial intelligence (AI) techniques such as machine learning, deep learning, and natural language processing (NLP) into the process to address issues arising from high dimensionality and scalability of data and the transformation of large amounts of data into clinical data.