A REVIEW ON: CURRENT ADVANCEMENTS IN CANCER THERAPIES

The medical community has struggled to better understand and treat the complexity of cancer, which is the second leading cause of death worldwide, responsible for one in every six deaths (world health organization). It discusses the use of AI in medical oncology, such as how AI is used in treatment decision-making for adult and pediatric cancer care, and how applications like advanced imaging, drug discovery, and clinical decision support systems enhance precision, personalization, and efficiency. Despite the challenges, AI-driven personalized medicine has improved diagnostics, risk stratification, and targeted therapies, leading to better patient outcomes and reduced costs in pediatric oncology. Important ethical issues, including data privacy, algorithmic bias, and explain ability, continue to be key to responsible integration of AI. Explainable AI and other future advancements are to be expected.