Breast cancer is a significant global health issue, being the most common cancer among women worldwide. While 3D screening mammograms can more effectively detect potential tumours than their traditional 2D counterparts, access to advanced 3D imaging technologies is limited in low-resource regions. With the support of the Marie Skłodowska-Curie Actions programme, the BRIDGE project will introduce a novel AI framework that can produce synthetic 3D mammography and/or magnetic resonance images from standard 2D mammograms. Using advanced machine learning techniques like Swin Transformer and generative adversarial networks, BRIDGE will develop a system that can generate clinically actionable 3D images. The approach will then be validated in clinical trials through collaboration with radiologists and oncologists in low-income countries.