Cancer is a multifaceted disease with hundreds of possible causes, depending on a combination of genetic and epigenetic factors. Artificial Intelligence (AI) can find important relationships in a dataset and is now being utilized in a variety of healthcare settings to predict outcomes, treat, and diagnose patients. Illness diagnosis, chronic disease management, health care delivery, and drug development are just a few of the areas where artificial intelligence (AI) is being tested in the healthcare and research industries. In this study, the author discusses how artificial intelligence (AI)-based support helps oncologists make more exact diagnoses and treatments for cancer patients. The modern biomedical research community is likewise concerned with ensuring the ethical and secure use of AI in clinical settings. The next big step forward in predicting disease risk, diagnosis, and therapies may be AI-based help to pathologists and clinicians. The future of medical advice lies in clinical applications of AI and Machine Learning (ML) in cancer diagnosis and therapy, which will allow for speedier mapping of a new treatment for each person. Researchers may work together in real-time and digitally exchange information to possibly treat millions by employing an AI base system method.