Artificial intelligence (AI) algorithms, codes, and systems have the potential to revolutionize healthcare services and significantly improve patient’s outcomes. In the field of medical sciences, particularly in cancer immunotherapy, AI can assist in predicting the efficacy of proposed treatments. Cancer immunotherapy is an innovative approach that enhances the body’s immune response to combat cancer. However, not all cancer patients respond equally to this treatment, making it challenging for healthcare professionals to predict which patients will benefit most, especially considering treatment costs. Fortunately, AI systems, including machine learning (ML) algorithms, can analyze extensive datasets such as patient records, genetic profile, genomics records, clinical histories, and treatment outcomes. These algorithms and systems can identify patterns and learn to forecast which patients are more likely to respond favorably to immunotherapy. Moreover, integrating AI technologies into healthcare systems presents significant opportunities for enhancing patient care, particularly in cancer treatment. As advancements in AI continue and access to comprehensive data improves, we may enter a new era where AI optimizes and personalizes treatment strategies, ultimately leading to better health outcomes for patients.