Abstract
Artificial intelligence (AI) tools significantly bolstered and facilitated the complexity of forecasting dangers, catching cancer earlier, and predicting the survival after treatment. Nowadays, they are emerging as a major adjunct for clinical and medical approaches. In this paper, the main idea concentrates on using deep learning (DL) and natural language processing (NLP) to scan, diagnose, and reduce any future negativities of cancer and oncology. In addition to giving strong variety of structural, systematic analysis of some reviewed studies. The primary aim of this survey is that it includes and represents a helpful guidance for researchers who need such direct evaluation of existed techniques for the purpose of more effective maintenance and development.
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