About

The Stanford AIMI Summer Health AI Bootcamp is a two-week virtual program designed for high-school learners seeking foundational experience at the intersection of artificial intelligence, healthcare, and data science. Hosted by Stanford’s Center for Artificial Intelligence in Medicine & Imaging (AIMI), the bootcamp introduces participants to machine learning fundamentals, healthcare data challenges, model evaluation metrics, team-based breakout activities and guest-speaker sessions featuring industry, academic, and nonprofit leaders. While structured for learners of all technical levels, the program is particularly attractive to students with interests in math, computer science, biology, or health-systems innovation.

Applications open in December and close in late February. Although in past years AIMI has been free to attend, admitted participants pay a $850 tuition fee, although financial-aid and fee-waiver opportunities are available to eligible students. Applicants must be U.S. citizens, permanent residents, or hold valid U.S. visa status; prior programming experience is not required but preference is given to students who demonstrate strong mathematics or computational interest in healthcare. While AIMI does not publish a formal acceptance rate, the small cohort size and selective nature of applicant review—as well as official backing by the Stanford name —strongly indicate a competitive process.

During the two-week term, students complete daily modules from 9 a.m. to 1 p.m. that combine lecture, hands-on case studies, group discussions, and social breakout sessions. Key topics include why machine learning matters in healthcare, foundational evaluation metrics, challenges and strategies in using AI for healthcare, and recent advances in foundation models for healthcare applications. Virtual lunch-and-learns with guest professionals allow students to explore real-world applications, while team-based breakout projects enable peer collaboration and reflective design of AI pipelines. The program serves both as a standalone experience and as a potential gateway: participants may receive priority consideration for AIMI’s year-round research internship opportunities within Stanford’s health-AI ecosystem.

Although the Bootcamp is shorter than full-term research internships, its targeted curriculum and institutional context make it a valuable step for students exploring healthcare, computational science, and data-driven medicine. Participants gain clearer insight into how artificial intelligence can be applied in clinical-research and healthcare settings, build foundational technical literacy in machine learning and evaluation, and set themselves up for continued research experience in future years.