MED 277 / CS 337
AI-Assisted Health Care 1-4 Units
Stanford University Fall Quarter 2018
AI has been advancing quickly, with its impact everywhere. In healthcare, innovation in AI could help transforming of our healthcare system.
This course offers a diverse set of research projects focusing on cutting-edge computer vision and machine learning technologies to solve some of healthcare's most important problems. The teaching team and teaching assistants will work closely with students on research projects in this area. Research projects include Care for Senior at Senior Home, Surgical Quality Analysis, AI Assisted Parenting, Burn Analysis & Assessment and more. AI areas include Video Understanding, Image Classification, Object Detection, Segmentation, Action Recognition, Deep Learning, Reinforcement Learning, HCI, and more.
The course is open to students in both the School of Medicine and the School of Engineering.
Interested students should apply HERE.
- AI Track: CS231n/CS230 or equivalent
- HCI Track: CS147; CS247 is recommended
- Proficiency in Python
- Strong research interest