Abstract
Cancer is a top cause of mortality in the world. Late detection and remissions are the biggest threats facing patients. Early detection of the same and a prediction of the prognosis and recurrence is one of the best chances we have against the fight with the disease. It has been found that artificial intelligence (AI) could be more accurate than even multivariate and statistical analysis which are themselves more accurate than empirical analysis. There has been a recent surge in literature pertaining to the use of machine learning and deep learning models for the diagnosis and prognosis of cancers. This article comprises a look at the AI technologies being used with respect to three of the most common cancers in the world - breast cancer, lung cancer, and gastric cancer. It also further delves the status of AI for Oncology in developing nations like India and the opportunities and the challenges facing an wide adoption of AI in such nations.
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