Navigating Your Career in Radiology AI Research
This session is designed to demystify the path toward successful research in radiology AI. As the field of artificial intelligence continues to transform radiology practice, many early-career clinicians and researchers seek structured guidance on how to enter and thrive in this space. This panel will bring together speakers across various career stages—from residents to industry-related research professionals and academic researchers—to share insights, personal journeys, and practical advice for navigating a career in radiology AI research.
Objectives
Identify key steps for initiating radiology AI research projects
Understand the importance of multidisciplinary collaboration and mentorship
Gain exposure to tools, platforms, and educational pathways relevant to AI research
Learn how to balance clinical duties with research development in AI
Discover strategies for publishing, overcoming challenges, and long-term success
Speakers
Katherine P. Andriole, PhD, FSIIM
Director of Academic Research and Education, Mass General Brigham AI
Associate Professor of Radiology, BWH and Harvard Medical School
Faraz Farhadi, MD
Radiology Resident
Massachusetts General Hospital
Moderator
Woojin Kim, MD
Chief Strategy Officer & CMIO
HOPPR
Amanda Lee, PhD Candidate
Computational Science Program
San Diego State University and the University of California, Irvine
Briana Malik
AI Researcher - Radiology
St. Jude Children's Research Hospital