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AI for Healthcare Bootcamp

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AI for Healthcare Bootcamp is 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. 

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