The integration of Artificial Intelligence (AI) into oncology is transforming cancer care by improving diagnosis, treatment planning, and patient outcomes. AI—with its ability to analyse vast datasets—offers unprecedented insights into the complexities of cancer biology, enabling more accurate and personalized approaches to treatment. This chapter explores how AI-driven technologies, such as Machine Learning (ML), deep learning, and Natural Language Processing (NLP), are revolutionizing cancer detection, prognosis, and therapeutic strategies. AI’s role in oncology spans from early cancer detection, where image recognition algorithms improve the accuracy of radiology and pathology assessments, to advanced treatment personalization through predictive analytics. Machine learning models trained on patient data can identify patterns and predict responses to therapies, enabling oncologists to design more effective, individualized treatment plans. AI tools are also being utilized for drug discovery, identifying novel therapeutic targets, and optimizing clinical trial designs, accelerating the development of new cancer therapies. In addition, AI-driven precision medicine is enhancing the management of complex cancers by integrating genomic data, medical records, and real-time patient monitoring. AI helps predict cancer progression, recurrence, and potential adverse treatment effects, improving decision-making for clinicians and patient care. Despite these advancements, challenges remain, including the need for large, high-quality datasets, algorithm transparency, and addressing ethical concerns regarding patient privacy. The chapter discusses these challenges and potential solutions to ensure responsible and effective AI adoption in oncology. In conclusion, AI is poised to revolutionize cancer care, offering the potential to improve survival rates and quality of life for patients. By enhancing diagnostic accuracy, personalizing treatment, and accelerating therapeutic discoveries, AI is driving a paradigm shift in oncology that promises a future of more effective and accessible cancer care.
Keywords: Artificial intelligence, Cancer care, Machine learning, Oncology, Precision medicine.
