Radiology

PAAICI

Program for Applied Artificial Intelligence in Clinical Imaging

About Us

The Program in Applied Artificial Intelligence in Clinical Imaging (PAAICI) in the Department of Radiology reflects the broad range of work occurring in the department in the areas of basic discovery, translation and clinical applications of artificial intelligence and machine learning in patient care.

PAAICI provides and coordinates the infrastructure to help faculty and trainees realize their goals in the development of new approaches in artificial intelligence A(I) and machine learning (ML) and move these new ideas into clinical practice. In addition, it provides venues to facilitate collaboration and shared knowledge amongst investigators.

Our Vision and Mission

The Department of Radiology has made significant investments to support the goals and vision of the PAAICI. These include:

  • Leveraging the computational infrastructure of the BioHPC high performance computing center at UT Southwestern. This allows investigators to begin work without making a major, up-front investment in computing hardware or software.
  • Implementing a research PACS or image archive system (iPACS) to facilitate the extraction of images from clinical PACS systems for de-identification, transformation and annotation. This research system is housed on BioHPC to facilitate processing.
  • Developing a Radiology Data Warehouse which includes millions of Radiology reports and associated metadata which can be used to identify cohorts of patients for AI/ML projects.
  • Creating standardized paths for initiating relationships with external AI/ML companies to facilitate implementation and testing of algorithms developed externally. These also provide platforms for integration with clinical systems to make introduction of investigator developed algorithms into clinical workflow feasible.
  • Fostering collaboration with other artificial intelligence and machine learning initiatives at UT Southwestern. This includes developments in clinical and radiologist decision support through interaction with the Center for Clinical Informatics at UT Southwestern and the IT departments at tour partner hospitals.