Artificial intelligence (AI) uses mathematical algorithms to replicate human thinking and tackle difficult healthcare problems, such as complex diseases like cancer. In the past decade, AI has rapidly advanced, showing great promise for enhancing decision-making, especially since humans struggle to process large amounts of data quickly. Cancer is a complicated disease with numerous genetic and epigenetic variations.AI-based algorithms have great potential to identify genetic mutations and abnormal protein interactions early on. Modern biomedical research is focused on integrating AI technology into clinics in a safe and ethical way.AI assistance for pathologists and physicians could greatly improve predictions of disease risk, diagnosis, prognosis, and treatment options. The use of AI and machine learning in cancer diagnosis and treatment represents the future of personalized medical care, allowing for quicker development of tailored therapies for each patient. With AI systems, researchers can collaborate in real-time and share knowledge digitally, potentially helping millions. This review focuses on how connecting biology with artificial intelligence can revolutionize clinics and help oncologists provide precise treatments.