Abstract
AI can help to essentially accelerate the process of analysis of vast amounts of data, anchoring patterns in the data, resulting in faster and recommended decision-making. Sophisticated prescient models are produced using algorithms that extract the patterns from data and predict results. AI is categorized into three stages namely, artificial narrow intelligence (ANI), artificial general intelligence(AGI), and artificial super intelligence(ASI). Precision medicine is a rising methodology for disease prevention and treatment based on the specific hereditary, environment conditions, and lifestyle choices of an individual patient. AI algorithms have been found to be compelling in streamlining malignant growth screening and discovery. AI frameworks are able to recognize singular drug-response variability, making recommendations based on patterns learned from vast amounts of public and exclusive information, and can help expand the frontier of precision medicine, specially of cancer genomics.
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