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Find similar grantsAI in Medicine Extracurricular Track is sponsored by University of South Carolina (Medical School and Molinaroli College of Engineering and Computing). This interdisciplinary pilot program, while primarily educational, indicates funding opportunities for projects related to AI in medicine.
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AI in Medicine Extracurricular Track - Floyd School of Medicine | University of South Carolina AI in Medicine - Extracurricular Track AI in Medicine Extracurricular Track AI in Medicine Extracurricular Track Be part of a comprehensive extracurricular program designed to familiarize students with core concepts of AI and teach technical foundations of main AI applications in Leveraging the University's strengths in computer science and hands-on AI experience from clinicians and researchers, this program introduces students to core AI concepts and technical foundations across applications in medicine—including language methods, predictive analytics, and imaging interpretation.
The curriculum equips students to critically evaluate and effectively use AI tools, prepare for future advancements, and contribute innovatively to the field. Spanning M-II through M-IV, lectures and projects are tailored each year to align with students’ medical knowledge and pathophysiology experience.
This initiative is offered by the USC School of Medicine in collaboration with the USC Molinaroli College of Engineering and Computing and USC AI Institute. Leonardo Bonilha, M. D.
, Ph. D. Senior Associate Dean for Research, Floyd School of Medicine Professor and Chair, USC Molinaroli College of Engineering and Computing Admission Requirements and Application A cohort of 10 first-year medical students will be selected for the AI in Medicine Extracurricular Track during the summer between M-I and M-II.
Applications open in early June and are open for approximately 1 month. To be considered, applicants must submit the following via the REDCap application: Current academic standing Curriculum Vitae or resume MCAT/GRE score (optional, self-reported) The application is available through the REDCap survey HERE . Applications will be open June 1-30.
Our second cohort, with members of the Class of 2028: Yumin Choi, Kate Coppage, Tala Curry-Koski, Kade Horacek, Sean Jacob, Elise Mallon, Clay Mallory, Lulu McMillan, Noel Tufts, and Harshitha Visikamalla. Our inaugural cohort for the AI in Medicine Extracurricular Track.
From left to right: Ryan Titus, Lauren Pawlowski, Juhi Patel, Alexander Barnette, Cecily Kaufmann, Trent Gillenwater, Eesha Gurav, Daniel Hernandez, Abigail Chase, and Melanie Tieman.
Expand all Molinaroli College of Engineering and Computing Click to visit the Molinaroli College of Engineering and Computing website Arnold School of Public Health Click to visit the Arnold School of Public Health website University of South Carolina AI Institute Click to visit the AI Institute website Click to visit the TechInLaw Initiative website Office of the Vice President for Research Click to visit the Office of the Vice President for Research website Challenge the conventional.
Create the exceptional. No Limits.
According to the current listing, eligibility includes: Medical students and potentially researchers collaborating with the University of South Carolina on AI in medicine projects. Confirm the full requirements in the official notice before applying.
AI in Medicine Extracurricular Track is funded by University of South Carolina (Medical School and Molinaroli College of Engineering and Computing). Verify program details on the funder's official page before applying.
This opportunity targets applicants in South Carolina. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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