Center for Artificial Intelligence in Medicine & Imaging

AI for Healthcare Bootcamp

The AI for Healthcare Bootcamp offers Stanford students an unique chance to engage in advanced research at the intersection of AI and healthcare. Students collaborate closely with Postdocs, PhD students from Professor Andrew Ng's lab, the AIMI Center, and faculty members in medicine. We are proud to share that our bootcamp alumni have pursued PhD programs at institutions including MIT, Stanford, UW; led industry efforts at Google Brain, Apple Health, Microsoft Research, Tesla AI; and started AI startups including Valar Labs and Wispr AI. Learn more about the history of AIHC bootcamp here.

Prerequisites and Commitment

The bootcamp is suited for students who have taken machine learning and software engineering courses. Students will be able to apply and sharpen these skills, developing machine learning solutions to challenging problems with the mentorship of postdocs and PhD students and in collaboration with medical faculty. Students have the opportunity to take a deep dive into healthcare and co-author a research paper. We expect students to:

  • Preferably have experience working on deep learning projects
  • Consider the bootcamp as their primary academic engagement and dedicate 25 hours per week. We have preference over students who can commit for two quarters or more. We encourage students to sign up for research credits (CS 199, CS 399, etc).
  • Have taken at least one of CS229, CS230, CS224N, CS231N, or equivalent

Previous projects include:

  • EEGs can be used to predict improvement to depression treatment
  • Chest x-ray models (XRay4All) can perform robustly in the ED / Express Care
  • Density-based cell sorting using magnetic levitation can be automated
  • Red-blood-cell disorders can be automatically detected using a magnetic levitation device
  • Hospital readmissions can be predicted 30 days in advance

  • Pathology models can automatically navigate microscope slides for cancer diagnosis

Call for Mentors & Projects - Winter Quarter 2025

We are delighted to invite AIMI affiliated faculty to be a part of the upcoming Stanford AI for Healthcare Bootcamp, an interdisciplinary program for mentored research at the intersection of AI and Medicine. Stanford computer science students work on high-impact research problems in small teams mentored by clinical faculty and Bootcamp leads. We are currently seeking project ideas and mentors for Winter Quarter 2025.

Program mentors provide clinical/technical guidance through weekly meetings and work with a small team to develop an AI solution for a clinically significant problem. Bootcamp projects generally lead to a co-authored manuscript. Mentors will not need to provide funding for the students who have technical skills in AI/ML but are participating as learners.

Proposals must be from Stanford researchers and must be related to artificial intelligence in healthcare. Projects should also be scoped such that students (working in groups of 1-3) can accomplish major milestones within one or two quarters. Importantly, data for the project must be available by the time project ideas are shared with students on January 6, 2025. It is fine for multiple project groups to work independently on the same data.

Important Dates

  • December 9, 2024 – Projects & Mentor Proposal Form – Deadline for projects for Winter Quarter
  • Week of December 9-13, 2024 – Meeting with selected mentors 
  • January 3, 2025 – Data for projects must be available
  • January 6, 2025 – Winter Quarter projects begin

To Apply

Please complete this brief form to be considered for a project mentor role for the Winter Quarter 2025 Bootcamp. 

Contact

Please contact us at aimicenter@stanford.edu for any questions.