Award Overview
The University of Florida Intelligent Clinical Care Center (IC3) and the College of Medicine Office of Research were pleased to announce the Fall Cycle Oberndorf AI Medical Scholarship Program. This initiative welcomed proposals from talented medical students eager to apply Artificial Intelligence (AI) for groundbreaking advancements in medicine.
This Request for Proposals (RFP) offered a unique opportunity for students to conceptualize and develop AI-based projects while gaining hands-on research training experiences that enriched their skill sets. The mentorship component, which utilized experts affiliated with the University of Florida (UF) with substantial experience in AI, further enhanced this learning journey.
The initiative aimed to inspire creativity, foster impactful contributions, and encourage feasible project ideas capable of making a significant difference in patient care, diagnostics, research, or healthcare management. It sought to create a collaborative environment where the intersection of medical knowledge and AI innovation was guided by experienced UF mentors, ultimately increasing the research capabilities and readiness of participating medical students. Proposals were due November 12, 2024, and a one-year Progress Report is required by January 31, 2026.
Funding was provided through a generous donation from Louis H. and Rosemary Oberndorf. Mr. Oberndorf is the founder and chairman of Medical Education Technologies, Inc. and an esteemed donor at the University of Florida.
2024 Oberndorf Clinical AI Scholars
2024 Oberndorf Clinical AI Scholar
Sasank Desaraju
LLM Agent Extraction of SICU Patient Information from EHR Database
His project aims to create an open-source large language model system that can autonomously answer clinical questions about patients by accessing the research Electronic Health Record database.
2024 Oberndorf Clinical AI Scholar
Daniel Lichlyter
Causal Forests: A Pilot for Risk Stratification of Post-Nephrectomy Renal Impairment
His project hopes to improve on tools that predict chronic kidney disease after surgical intervention.
2024 Oberndorf Clinical AI Scholar
Anjali Patel
Developing AI-Powered Image Segmentation Software for Enhanced Carotid MRI Interpretation
Her project aims to change how carotid plaque of MRIs are read in clinical practice.
