The University of Chicago Department of Radiology and UChicago Medicine IT has been selected to receive a National Science Foundation (NSF) Convergence Accelerator Program Grant as part of a research collaboration that will develop and evaluate a federated asynchronous distributed model for training and supporting AI applications in healthcare. The ImagiQ collaboration project is a collaborative endeavor involving the University of Iowa, University of Chicago, Stanford University, Massachusetts General Hospital, Yale University, and Nvidia. With the nearly $1 million Phase 1 grant awarded, Dr. Chang, along with his other Co-Principal Investigators, will develop a platform that will support the practical creation and consumption of AI healthcare applications without the need to share patient data outside their institutions. As part of this project, the Division of Radiology Informatics and UChicago Medicine IT will be tasked to build the supporting infrastructure to allow the Nvidia enabled federated AI architecture to consume clinical data is a scalable and secure manner. Through the creation of this model, this project seeks to encourage greater and accessible adoption of AI in healthcare. Additional information regarding the research project can be found on the NSF award abstract page here.
The ImagiQ project is part of the NSF’s Convergence Accelerator Research Program which supports use-inspired, team-based, multidisciplinary efforts that address challenges of national importance and will produce deliverables of value to society in the near future.
