AI and Imaging in Oncology is revolutionizing cancer care by enhancing the accuracy, speed, and personalization of diagnosis and treatment. Artificial intelligence (AI) technologies, including machine learning and deep learning, are being applied to medical imaging techniques such as MRI, CT, PET, and mammography to detect tumors, classify cancer types, and monitor disease progression with high precision. AI algorithms can identify subtle patterns and anomalies often missed by the human eye, enabling earlier and more reliable detection. In treatment planning, AI supports radiation therapy, surgical decisions, and response assessment by analyzing large datasets and imaging results. This integration of AI with oncology imaging leads to faster workflows, reduced errors, and more tailored care strategies, ultimately improving patient outcomes and transforming the future of cancer diagnostics and therapy.