Leonardo Bonilha, M.D., Ph.D.
Senior Associate Dean for Research, School of Medicine Columbia
About the Track
Leveraging USC’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.
Program Faculty
Homayoun Valafar, Ph.D.
Director, AI Institute 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)
- Personal statement
The application is available through the REDCap survey HERE.
Our Cohorts
