Clinical Artificial Intelligence in Radiology Categorical Course
This course will provide an in-depth and practical introduction to artificial intelligence and its expanding role in medical imaging. Participants will explore foundational concepts, current innovations, and implementation strategies, along with ethical, legal, and collaborative considerations. Designed to suit a wide range of experience levels, the course focuses on real-world applications and equips attendees with the tools they need to engage confidently with AI in clinical settings.
Learning Outcomes
As a result of attending this course, you will be able to:
- Analyze the basics of artificial intelligence and its value in radiology
- Create a practical framework for implementation of AI in clinical settings
- Describe radiology applications of AI and summarize research and education approaches
- Explain key perspectives of AI ethics, legal considerations, and human-centric AI
Course Directors
Shandong Wu, PhD
University of Pittsburgh
Yee Seng Ng, MD
University of Washington