OVERVIEW
Artificial Intelligence (AI) is revolutionizing oncology, since it offers groundbreaking tools to improve diagnosis, prognosis, and cancer treatment. Several topics must be analyzed and explored, i.e.:
- Understanding the fundamentals of AI: introducing AI principles and its main applications in healthcare;
- Exploring the implementation of AI in cancer diagnostics: analyzing how tools such as radiomics and digital pathology are improving diagnostic accuracy and work flow efficiency;
- Assessment of multimodal integration of data: discussing the relevance of combining several data types (clinical, genomic, and imaging data) by implementing AI to make clinical decisions;
- Exploring ethical and regulatory aspects: facing ethical, legal, and law implications related to AI implementation in oncology.
