The mission of AI for Health is to develop unbiased, explainable AI algorithms to better understand health and wellness, to improve the efficiency, value and delivery of healthcare and to improve patient experience and outcomes.
Artificial Intelligence has had a large and demonstrated impact on efficiency and profitability for many industries, but its power is only just now being utilized in health applications. AI systems in health must be unbiased, explainable, efficient, domain-specific and accessible to patients, practitioners, researchers and business users.
The research performed through the AI for Health Affiliates Program aims to address these challenges in human health by advancing domain-specific AI technologies in healthcare administration, healthcare delivery, wellness, and more.
- Natural language translations and understanding of medical terminologies
- Recommendation systems for healthcare products and applications
- Improved healthcare operations
- Customer and patient satisfaction
- Healthcare predictions
- Clinician decision support systems
- Drug interactions, repurposing and discovery
- Social and medical networks
- Understanding wearables
- Mining search data
- Patient sentiment analysis
James Zou, Director for AI for Health
James Zou is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering at Stanford University. He works on making machine learning more reliable, human-compatible and statistically rigorous, and is especially interested in applications in human disease and health. Several of his team’s algorithms are widely used in tech and biotech industries. Mr. Zou received a Ph.D from Harvard in 2014, and was a member of Microsoft Research, a Gates Scholar at Cambridge and a Simons fellow at UC Berkeley. He joined Stanford in 2016 and is excited to be a two-time Chan-Zuckerberg Investigator and the faculty director of the university-wide Stanford Data4Health hub. He also a member of the Stanford AI Lab. His research is supported by the Sloan Fellowship, the NSF CAREER Award, and Google, Amazon and Adobe AI awards.