Consortium for Patient-Centered Artificial Intelligence

-Develop and implement AI and diagnostics-based research on imaging modalities: eg. automated detection of liver metastases, prostate cancer tumors, automated screening of diabetic retinopathy, and solutions for digital pathology.

- Develop and implement AI prediction and surveillance methods of outcomes, including postoperative and other therapeutic adverse events using the information from EHRs and clinical quality registries.

- Study how a multi-disciplinary research consortium can produce AI results together and how organizational context factors and leadership influences how they are implemented into clinical use.