Abstract
Precision medicine in cancer care (precision oncology) aims to customize cancer treatments based on the individual genetic, biological, and physical characteristics of patients. This approach has shown promising results in improving treatment outcomes, quality of life, and addressing drug resistance. However, precision oncology faces challenges in managing and interpreting the large amount of data generated, as well as the lack of personalized biomarkers for individual patients. This chapter focuses on the application of artificial intelligence (AI) in precision oncology, specifically in areas such as early detection, diagnosis, treatment planning, omic data analysis, radiomics, pathology, and patient monitoring and prognostication. It also discusses the ethical and legal considerations associated with AI implementation in precision oncology and emphasizes the importance of appropriate training for healthcare professionals to ensure the responsible and effective use of AI technologies in cancer care.
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