Digital breast tomosynthesis (3D mammography) captures several thin slices of the breast, giving radiologists more information than a flat 2D image — but at a higher radiation dose and cost. AI can generate synthetic 2D views from the 3D data, removing the need for the separate “combo” acquisition.
Beyond mammography, researchers are exploring AI-enhanced, contrast-free MRI. By learning to reconstruct images from reduced or gadolinium-free acquisitions, AI could spare patients the intravenous contrast agents and time in the scanner — while keeping diagnostic quality.
What it means for patients
- A lower radiation dose with tomosynthesis screening
- Shorter, more comfortable exams
- Lower costs, enabling broader screening programmes
- Fewer contrast injections when they can be avoided