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This article provides a practical guide for cancer researchers on the potential and limitations of artificial intelligence (AI) in cancer research. It introduces AI and its associated models, such as artificial neural networks and deep learning, and discusses their application in cancer research. The article also highlights the challenges in adopting AI technology in ongoing studies and provides examples of how AI can accelerate research progress and identify patterns invisible to the human eye.