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Artificial Intelligence

Explore Resources

World-class infrastructure, high-quality data and diverse and inclusive teams are central to UF Health’s AI vision. Explore our campuses and resources for advancing trustworthy AI in the health sciences, including computing, data, workforce development, pilot funding and research services.

Project spotlight

UF-NVIDIA team speeds brain research using AI

During the Georgia Tech GPU Hackathon in January 2022, a UF-NVIDIA team drastically improved the processing time for evaluating tens of thousands of datapoints collected from an individual brain. It is now more than 40 times faster. In addition to three NVIDIA experts, the team included three faculty members and a doctoral student from the UF colleges of Public Health and Health Professions, Engineering, and Medicine.

GatorTron servers.

UF Health Campuses

UF Health’s talented and dedicated workforce of more than 33,000 people provide lifesaving care and research breakthroughs for more than 3 million patients who come to UF Health each year from around the U.S. and more than 30 countries. AI and data science experts at UF have a unique opportunity to partner with us as we optimize UF Health’s data and IT ecosystem to fuel AI-powered advances in health care delivery, biomedical discovery, and public and population health.

UF aerial shot

With campuses in Gainesville, Jacksonville, Lake Nona (Orlando), Central Florida (Leesburg and The Villages), Jupiter (UF Scripps), and other satellite locations, UF Health spreads a constellation of care over the third-most populous state in the nation. Our academic health center is home to 10 major research institutes and centers that further extend pathways to translate AI and other research advances into improved health across the state, region and nation.

Computing Resources

The UF-NVIDIA partnership is elevating UF Research Computing infrastructure to new heights, with HiPerGator AI recently ranked by TOP500 as one of the world’s most energy-efficient and powerful supercomputers in higher education.

Data Resources

UF researchers can leverage complementary institutional, statewide and federal data resources for a broad spectrum of health-related AI use cases. The UF Health Integrated Data Repository and OneFlorida Data Trust are two examples of high-quality data assets that provide exceptionally deep and broad collections of real-world data for developing and validating AI methods and applications, each with established universitywide pathways for access. The UF Health Science Center Libraries maintains a one-stop Precision Public Health LibGuide that catalogs data sources for public health research, and UF is home to a Florida Research Data Center recently established with NSF funding. In addition, several UF research centers and institutes maintain domain-centric data resources accessible to their members.

  • UF Health Integrated Data Repository: a large-scale clinical data warehouse that contains more than 1 billion observational facts pertaining to more than 1 million patients at UF Health
  • OneFlorida+ Data Trust: a repository of health-care data pertaining to more than 17 million patients who visit private and public health care systems throughout Florida and in select cities in Georgia and Alabama
  • UF Precision Public Health LibGuide: a catalog of federal, state and local data sources applicable to public health research
  • Florida Research Data Center: a secure research environment where researchers can analyze restricted data collected by the U.S. Census Bureau and other federal statistical agencies

Workforce Development Resources

The UF Artificial Intelligence Academic Initiative Center’s “AI across the Curriculum” initiative offers multiple pathways to develop AI-related skills and credentials, including an undergraduate certificate, majors and graduate programs integrating AI in their syllabi, and continuing education courses. In addition, UF Research Computing organizes a range of AI education and training resources.

UF Health colleges have a broad portfolio of graduate education programs that offer foundational AI and data science courses, from biostatistics, epidemiology and health outcomes and biomedical informatics, to pharmaceutical sciences and precision medicine. Highlights of new opportunities to train future AI researchers as well as AI-savvy collaborators:

Pilot Funding Resources

Several units across campus offer competitive pilot funding programs with broad eligibility criteria or a specific interest in AI and data science projects:

Research Resources

Robust services and resources are available to support health-related research through UF Health’s major research offices, centers and institutes spanning multiple campuses. Key resources of interest for AI and data science are highlighted below, and numerous activities and directories are available to help faculty and students connect with collaborators.