Philips and the University of Washington are collaborating on early-stage research exploring whether AI combined with non-contrast diffusion-weighted imaging (DWI) could improve breast MRI workflows and diagnostic confidence, particularly for women with dense breast tissue.
Unlike traditional breast MRI, non-contrast DWI does not require contrast agents, and the researchers are exploring whether AI could help enhance interpretation of these images while maintaining diagnostic value. The project is in an early research phase and no clinical conclusions have been drawn, the organizations said.
The collaboration leverages Philips' Paradise AI research platform for algorithm development and model evaluation, with University of Washington researchers leading data preparation and model development. The project began earlier in 2026 and will continue through several iterative research phases, with both organizations planning to jointly evaluate progress later this year.
