The AI2Heal Datathon—a two-day event co-sponsored by the UF College of Medicine’s Office of Research and Intelligent Critical Care Center (IC3)—featured research talks about medical AI work at UF and ended with the awarding of $15,000 and $20,000 grants to winners of the AI2Heal Datathon research proposal competition.
For a recap of this inaugural event, read the story in UF’s Doctor Gator: College of Medicine News.
Here are the five teams selected to receive the AI2Heal Datathon catalyst grants.
First-place prizes, $20,000
Yong He, PhD, a research assistant scientist with the Department of Surgery, and his team for their project “AI-Assisted Analysis of the Relationships Between Hemodynamics and Arteriovenous Fistula Remodeling”
Mohammad Al-Ani, MD, a clinical assistant professor in the Division of Cardiovascular Medicine, and his team for their project “Integrative Evaluation of Cardiopulmonary Sarcoidosis via Magnetic Resonance Imaging — a Clinical Application of Artificial Intelligence”
Kiley Graim, PhD, an assistant professor in the Department of Computer and Information Science and Engineering at the College of Engineering, and her team for their project “Improving Sepsis Outcomes Through Ancestry-Aware Genomic Machine Learning Analysis”
Second-place prizes, $15,000
Russell Terry, MD, an assistant professor in the Department of Urology, and his team for their project “Measurement and Prediction of Kidney Stone Growth Using Machine Learning”
Jeremy Balch, MD, a resident in the Department of Surgery, and his team for their project “Mend AKI: Extracting Social Determinants of Health Data from Unstructured Data for Assessment of Acute Kidney Injury Risk”
