Artificial Intelligence (AI) is transforming oncology by analyzing vast datasets, recognizing patterns of cancer cells, and providing instantaneous information about diagnosis and treatment. AI-powered platforms, such as Google's DeepMind and IBM's Watson, are pioneering personalized treatments by predicting patient medication responses based on genetics. However, AI's use in oncology isn't without hurdles. Data privacy concerns are prevalent since AI relies on substantial amounts of personal medical data. Additionally, ensuring diversity to avoid bias and addressing the opacity of AI's decision-making process are challenging. Effective integration of AI in healthcare demands extensive cooperation, stringent regulation, and a constant commitment to enhancing patient care, despite these issues. The goal remains resolute to utilize AI's full potential in revolutionizing cancer care.
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