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The integration of Artificial Intelligence (AI) into cancer treatment represents a major advancement in diagnostic, prognostic, and therapeutic methods. This article explores how AI enhances drug response predictions, optimizes treatment regimens, and improves diagnostic imaging precision, leading to early and accurate tumor detection. AI accelerates drug discovery by identifying novel compounds, optimizing dosages, and repurposing existing drugs, thereby enhancing treatment development. In clinical trials, AI improves trial design, patient selection, and monitoring, increasing efficiency and success rates. Its application in medical imaging, including tumor localization and organ segmentation, provides detailed insights for precise diagnostic and treatment planning. Despite challenges such as data privacy and model transparency, AI's continuous learning and integration into personalized medicine highlight its transformative potential in cancer care. This convergence of AI and medical science promises to revolutionize oncology, improve patient outcomes, and tackle complex challenges.
Hakan Eraslan (Tue,) studied this question.