The AI for Healthcare Bootcamp provides Stanford students an opportunity to do cutting-edge research at the intersection of AI and healthcare. Students receive training from PhD students and bootcamp faculty to work on high impact work.

The applications for the spring bootcamp are now open.

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Teaching Team

Pranav Rajpurkar

PhD Student

Anand Avati

PhD Student

Jeremy Irvin

MS Student

Sharon Zhou

PhD Student

Andrew Ng

Professor

Nigam Shah

Professor

Matt Lungren

Professor

Curt Langlotz

Professor

Jeanne Shen

Professor

Sanjay Basu

Professor

Bhavik Patel

Professor

Kristen Yeom

Professor

Leanne Williams

Professor

Program

The AIHC bootcamp is an intense two-quarter program where students work on high-impact research problems at the intersection of AI and healthcare (radiology, pathology and public health). Students work closely with PhD students in Professor Andrew Ng's lab and with faculty in the medical school.

Applications

Students with a background in artificial intelligence or healthcare are encouraged to apply. The applications for the spring+summer bootcamp are now open.

  • Early Applications due Mar 1st, 2019 at 11:59p PST.
  • Regular Applications due Apr 1st, 2019 at 11:59p PST.
  • Late Applications due Apr 8th, 2019 at 11:59p PST.
  • Rolling interviews and selections until Apr 9th, 2019.
  • Bootcamp starts Apr 10th, 2019. Students can choose to pursue their second quarter of the bootcamp over the summer or over the fall.

AI Specialization

This role 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 CS PhD students and in collaboration with medical school faculty. Students have the opportunity to take a deep dive into healthcare and co-author a research paper. We expect students to have:

  • Taken machine learning courses (CS229/CS230/CS224N/CS231N or equivalent).
  • Proficiency in software engineering (CS107 or equivalent), and have done Python programming.
  • The bootcamp as their primary academic engagement (20-30 hours per week in lab) outside of 1 or 2 courses. We encourage students to sign up for research credits (CS 199, CS 399 etc).

Healthcare Specialization

This role is suited for students in the medical school. Students will work to define the focus of projects by exploring previous work and clinical utility. Students have the opportunity to work closely with the medical school faculty, take a deep dive into AI, and co-author a research paper. We expect students to:

  • Have medical knowledge / clinical experience (candidates have taken step 1 and/or completed at least some clinical rotations).
  • Know deep learning and machine learning at a conceptual level.
  • Dedicate 10-20 hours per week and attend 2 research meetings per week. Students can sign up for research credits (MED 199, MED 399 etc).

Web Dev Specialization

This role is suited for students who have taken web development and software engineering courses. Students will be able to apply and sharpen these skills, developing solutions to challenging problems at the intersection of AI and healthcare with the mentorship of CS PhD students and in collaboration with medical school faculty. Students have the opportunity to take a deep dive into healthcare and co-author a research paper. We expect students to have:

  • Proficiency in software engineering (CS107 or equivalent), and have done Javascript programming.
  • Taken web development courses or developed non-trivial web-apps.
  • The bootcamp as their primary academic engagement (20-30 hours per week in lab) outside of 1 or 2 courses. We encourage students to sign up for research credits (CS 199, CS 399 etc).

We invite you to join the AI revolution in healthcare

Apply Now