Data Science Pathway learning
The Data Science Pathway (DSP) is an exclusive program for Mass General Brigham radiology residents to learn the fundamentals of artificial intelligence (AI) and machine learning (ML) in health care.
The pathway is an immersive educational experience that expands upon the ML foundational curriculum with live interactive “flipped-classroom” sessions, hands-on demonstrations, “on-your-own” exercises, and a journal club.
Note: Radiology fellows may do an abbreviated experience without a research project.
What does the Data Science Pathway curriculum consist of?
Introduction to the tools and techniques involved in developing, validating, and translating AI/ML into clinical practice
Data science research project in conjunction with a Mass General Brigham clinical champion
Exposure to industry collaboration and the full lifecycle of AI products and services, from concept to care integration, including product development procedures, regulatory processes, and ethics of machine learning
Learn more about the Data Science Pathway and how to register
Katherine P. Andriole, Ph.D., FACR, FSIIM, FSPIE
Director of Academic Research and Education, Mass General Brigham AI
Associate Professor of Radiology, Brigham and Women’s Hospital, Harvard Medical School
