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
Course Schedule
| Sunday, April 12, 2026 | |
|---|---|
| 10:00 am – 12:00 pm: Getting to Know AI | |
| Overview of Radiology AI Latest Progress | Tessa Cook, MD, PhD |
| Primer on AI: Deep Learning, Natural Language Processing and Large Language Models | Hyun Soo Ko, MD |
| How Can AI Improve Radiology Workflow Efficiency | Linda Moy, MD |
| How Can AI Improve Imaging Interpretation | Shandong Wu, PhD |
| 1:00 pm – 3:00 pm: AI Clinical Implementation | |
| Legal and Ethical Considerations | Julian Rivera, JD |
| AI Deployment | Tessa Cook, MD, PhD |
| AI Regulation and Governance: A Practice Perspective | Melissa Davis, MD, MBA |
| Panel Discussion | Linda Moy, MD (Moderator); Julian Rivera, JD; Tessa Cook, MD, PhD; Melissa Davis, MD, MBA |
| 3:30 pm – 5:30 pm: Going Beyond Images to Multimodality | |
| Data Curation for AI Development | Heather Whitney, PhD |
| Multimodal Data | Christian Bluethgen, MD |
| Medical Physics and AI | Lifeng Yu, PhD |
| Panel Discussion | Heather Whitney, PhD; Christian Bluethgen, MD; Lifeng Yu, PhD |
| Monday, April 13, 2026 | |
|---|---|
| 7:30 am – 9:30 am: AI Use Cases in Subspecialties: Breast, Neuro, Abdominal, and MSK | |
| Breast Imaging AI | Constance Lehman, MD, PhD |
| AI in Neuroradiology Imaging | Paulo Kuriki, MD |
| AI in Abdominal Imaging | Yee Ng, MD |
| Musculoskeletal Imaging | Ali Guermazi, MD |
| 10:00 am – 12:00 pm: AI Use Cases in Subspecialties: Peds, Cardiothoracic, IR, NM | |
| Pediatric Radiology Artificial Intelligence | Edward Lee, MD, MPH |
| Cardiothoracic Imaging AI | Fernando Kay, MD |
| Interventional Radiology AI | Dania Daye, MD, PhD |
| Nuclear Medicine AI | Babak Saboury, MD |
| 1:00 pm – 3:00 pm: AI Research and Education | |
| Demonstration of an AI Model Development Process (from A to Z) in Radiology | Dooman Arefan, PhD |
| Radiology AI Research | Shandong Wu, PhD |
| Clinically Fluent, AI Literate: Teaching Radiologists About and With AI | Justin Peacock, MD, PhD |
| Panel Discussion | Shandong Wu, PhD (Moderator); Dooman Arefan, PhD; Justin Peacock, MD, PhD |
| 3:30 pm – 5:30 pm: Humanity and AI | |
| Radiologist-AI Collaboration | Florence Doo, MD |
| AI Fairness | Judy Gichoya, MD, MS |
| Radiologists Fit in AI-Powered Radiology Services That Are Radiologist-Centered | Eduardo Barbosa, MD, MBA |
| Panel Discussion | Charles Kahn, Jr., MD, MS (Moderator); Florence Doo, MD; Judy Gichoya, MD, MS; Eduardo Barbosa, MD, MBA |