Artificial Intelligence for diagnosis and image synthesis in breast cancer

This thesis focuses on the development of artificial intelligence (AI) models to improve the diagnosis of breast cancer, the most common cancer among women and a leading cause of cancer-related deaths. The research investigates how AI can analyze medical images and patient records to predict cancer risks, classify tumor types, and identify molecular subtypes, offering more precise and personalized diagnostic insights. Additionally, the thesis introduces innovative AI methods to generate missing MRI scans, ensuring comprehensive diagnostic data even when certain imaging sequences are unavailable. By integrating AI with advanced imaging technologies, this research aims to enhance the accuracy and reliability of breast cancer diagnosis, ultimately improving the efficiency of the healthcare process for breast cancer patients.