The University of Florida and the Medical University of South Carolina have created a collaborative center for cutting-edge healthcare research. The Southeastern Health AI Consortium will fund teams of researchers who combine the power of supercomputing with expertise in healthcare delivery.
Addressing pressing concerns ranging from mental health to maternal health, the consortium will pool resources to discover practical solutions from big data.
One of its leaders is Elizabeth Shenkman, Ph.D., the director of the UF Institute for Child Health Policy and co-director of the UF Clinical and Translational Science Institute.
Shenkman noted how funded research teams would seek new methods to improve lives. “For example, maternal morbidity and mortality due to hypertensive disorders of pregnancy can potentially be reduced through more rapid identification of high-risk mothers,” she said.
Initial projects include leaders from both universities, and three of them address issues important to mothers and youth. These projects and their UF principal investigators include the following:
- “Improving Maternal Mental Health Screening Using Large Language Model-based Artificial Intelligence,” with Yonghui Wu, Ph.D.
- “Precision Pregnancy Digital Twins: A Collaborative Pilot for AI-Driven Intervention Modeling,” with Dominick Lemas, Ph.D.
- “AI-Enhanced Team Monitoring to Improve Youth Mental Health Referrals in Schools,” with Joni Splett, Ph.D.
For a full list of grant awardees, select the button and read the announcement from the Medical University of South Carolina: “From algorithms to outcomes: AI is rewriting healthcare in the Southeast.”