This course will cover the following topics:
- The fundamentals of AI and Machine learning (ML) at a high-level
- The basic processes and infrastructure required for AI in healthcare
- Data cohort design
- Real-world AI case examples in healthcare today
- Example AI tools to impact workflow in the healthcare arena
Dr. AndrioleÂ is an Associate Professor of Radiology at Harvard Medical School, Brigham and Womenâ€™s Hospital, and is currently the Director of Research Strategy and Operations at the MGH & BWH Center for Clinical Data Science (CCDS) (https://clindatsci.com).Â She studied Biomedical Engineering, and Electrical Engineering and Medicine at Duke University and Yale University, respectively, and did postdoctoral fellowships at the University of California at Los Angeles, and the University of California at San Francisco (UCSF) Departments of Radiology. Click Dr. Andrioleâ€™s bio below to learn more.