The extraordinary advancement of Machine Learning (ML) and Artificial Intelligence (AI), specifically the ex - potential success achieved by artificial neural network architectures like Deep Learning (DL), algorithms used in fighting cancer have been evolving and present approaches that demonstrate a lot of potential from diagnosing, predicting tumors, to enabling drug development and gene - based personalized medication, making the target for cancer prognosis to get closer to stage zero. This review targets coverage of how AI is used as a powerful tool to attack cancer, where we propose four different ways in describing such evolution of AI in Cancer is taking place: sub - reviews by type of algorithms, by cancer and data type, and by AI’s objective.
