The Imaging Informatics core has artificial intelligence partnerships with universities and companies around the globe. A strength of the core is its built de-identification pipelines that allow quick retrospective cohort creation while retaining relevant clinical data. Additionally, the core utilizes supercomputing and cloud resources at Indiana University to create scalable infrastructure to power machine learning and other intense projects.
Current research areas
- Federated Learning for healthcare imaging
- Quality improvement through radiology metadata analysis
- Human-computer interfaces for radiologists