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