Clinical Artificial Intelligence in Radiology Categorical Course
Go from AI-curious to AI-confident.
This course cuts through the hype, giving you a practical playbook to understand, implement, and confidently collaborate with AI in your daily practice.
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
Hyun Soo Ko, MD
Peter MacCallum Cancer Centre
Course Schedule
| Sunday, April 12, 2026 | |
|---|---|
| 10:00 am–12:00 pm: Getting to Know AI | |
| Overview of Radiology Artificial Intelligence: Latest Progress | Tessa Cook, MD, PhD |
| Primer on Artificial Intelligence (AI): Deep Learning, Natural Language Processing and Large Language Models, Generative AI, Agentic AI, and Radiomics | Hyun Soo Ko, MD |
| Artificial Intelligence Can Improve Radiology Workflow Efficiency By Automating Noninterpretive Tasks | Linda Moy, MD |
| Artificial Intelligence to Improve Radiology Imaging Interpretation | Shandong Wu, PhD |
| 1:00 pm – 3:00 pm: AI Clinical Implementation | |
| Legal and Ethical Considerations in AI Implementation | Julian Rivera, JD |
| Artificial Intelligence Deployment | Tessa Cook, MD, PhD |
| Artificial Intelligence (AI) Regulation and Governance: A Practice Perspective On How to Govern Assessment, Deployment, and Maintenance of AI Algorithms | 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 | |
| Medical Imaging Dataset Curation for Artificial Intelligence | Heather Whitney, PhD |
| Multimodal Foundation Models in Radiology | Christian Bluethgen, MD |
| Physics and Artificial Intelligence in CT | 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 Artificial Intelligence | Constance Lehman, MD, PhD |
| Artificial Intelligence in Neuroradiology | Paulo Kuriki, MD |
| Artificial Intelligence in Abdominal Imaging | Yee Ng, MD |
| Current and Emerging Applications of AI in 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 |
| Artificial Intelligence in Cardiothoracic Imaging: From Decision Support to Prognostic Biomarkers | Fernando Kay, MD |
| Applications of Artificial Intelligence in Interventional Radiology | Satvik Tripathi |
| Nuclear Medicine AI | Babak Saboury, MD |
| 1:00 pm – 3:00 pm: AI Research and Education | |
| Demonstration of an Artificial Intelligence Model Development Process (From A to Z) in Radiology | Dooman Arefan, PhD |
| Artificial Intelligence Research in Radiology: Team, Approach, and Direction | 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-Artificial Intelligence Collaboration and Teaming | Florence Doo, MD |
| Bias and Fairness of Artificial Intelligence in Radiology: Current State and Future Directions | 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 |