Overview
- Mallinckrodt Institute of Radiology created the Center for Computational and AI-enabled Imaging Sciences to build AI tools that improve diagnosis and precision treatment across cancers, cardiovascular disease and neurological conditions.
- The center will aggregate imaging databases across departments and integrate modalities from digital microscopy to MRI and X-ray to uncover clinically informative patterns and early disease indicators.
- WashU says it will advance AI tools already moving to market, including a model that estimates five-year breast cancer risk from mammograms and software that rapidly maps the brain for neurosurgical planning.
- The hub will collaborate across WashU’s AI ecosystem, including the Center for Health AI and McKelvey Engineering’s AI for Health Institute, while engaging Siteman Cancer Center and multiple clinical departments.
- Planned activities include analyzing millions of medical images with de-identified patient records to study disease progression, generate treatment insights, and provide training for clinicians and researchers.