Program
Ensure your practice remains at the forefront of innovation and supportive patient care.
Through interactive lectures, case-based discussions and collaborative exercises presented during Radiology Reimagined: Advancing Clinical Practice Through AI Innovation, you'll gain the skills and experience you need to:
- Bridge the gap between conceptual understanding and clinical integration and validation
- Assess accuracy, bias, clinical value and workflow fit in your specialty
- Utilize a structured framework for evaluating and deploying AI
- Gain fluency in AI model capabilities and limitations to evaluate claims and ask the right questions to vendors and regulators
- Understand key implementation strategies to lead clinical workflow integration or advise on real-word performance
Registration is open. Review course details below and secure your spot for Oct. 16–17 in Barcelona!
Course dates & location
Oct. 16–17, 2025
9 a.m. – 5 p.m. local time
Hospital of Sant Pau
Carrer de Sant Quintí, 89, Horta-Guinardó, 08025
Barcelona, Spain
Course format
Radiology Reimagined: Advancing Clinical Practice through AI Innovation is a two day, in-person course featuring lectures, case studies, interactive sessions and group discussions.
Course language
English
After completing this course, participants will be able to:
- Understand the foundational concepts of AI in medical imaging, including distinctions between traditional algorithms and foundation models, the evolving role of radiologists, and how AI supports the shift from population health to precision medicine.
- Use practical tools to facilitate clinical implementation and understand AI use case identification, model selection frameworks, key performance metrics, ethical considerations, data orchestration, and best practices for integrating AI into radiology workflows.
- Explore strategies for ongoing impact, including continuous monitoring of AI models, addressing automation bias, demonstrating value through outcomes, navigating ROI and payment models, and preparing the next generation of radiologists.
Course outline
Please note: The schedule is subject to change.
Thursday, Oct. 16
| Time (local time) | Event | |
|---|---|---|
| 8–9 a.m. | Registration opens | |
| 9–9:15 a.m. |
Welcome and course introduction |
|
| 9:15–10:15 a.m. | Basic Concepts AI | |
| 9:15 a.m. | How Should We Guide AI? How Will AI Change Us? Charles E. Kahn, MD, MS |
|
| 9:35 a.m. | What is the Radiologist's Future Role? Nina Kottler, MD, MS |
|
| 9:55 a.m. | Q&A Charles E. Kahn, MD, MS; Nina Kottler, MD, MS |
|
| 10:15–10:45 a.m. | Interactive session Audience Deep Dive: Problems You Are Facing with AI Björn Jobke, MD; Amine M. Korchi, MD |
|
| 10:45–11:15 a.m. | Networking break | |
| 11:15 a.m. – 1:15 p.m. | Pre-Deployment AI | |
| 11:15 a.m. | AI Applications and Use Cases in Radiology: A 360° Overview Amine M. Korchi, MD |
|
| 11:45 a.m. | Through the Radiologist's Eyes: Vetting AI Models Jason A. Poff, MD |
|
| 12:15 p.m. | Deep Dive on Clinical AI Metrics Jason A. Poff, MD |
|
| 12:45 p.m. | Q&A Amine M. Korchi, MD; Jason A. Poff, MD |
|
| 1:15–2:15 p.m. | Lunch | |
| 2:15–4:50 p.m. | Implementing AI | |
| 2:15 p.m. | Practical Considerations to Build, Buy, and Implement AI Charles E. Kahn, MD, MS |
|
| 2:35 p.m. | Local Practice's Experience Using AI Björn Jobke, MD |
|
| 2:55 p.m. | Lessons Learned from 5 Years of Using AI in Radiology Amine M. Korchi, MD |
|
| 3:20 p.m. | Data Orchestration – What Is It and Why Is It Important? Nina Kottler, MD, MS |
|
| 3:40 p.m. | Practical Challenges in AI Deployment Jason A. Poff, MD |
|
| 4:00 p.m. | Rad Training, Bias, and Bias Mitigation Björn Jobke, MD |
|
| 4:20–4:50 p.m. | Q&A All faculty |
|
| 4:50 p.m. | Closing remarks Nina Kottler, MD, MS |
|
| 5–6 p.m. | Networking reception | |
Friday, Oct. 17
| Time (local time) | Event | |
|---|---|---|
| 9–9:15 a.m. | Review of day one / Overview of day two | |
| 9:15–10:40 a.m. | Post Deployment AI | |
| 9:15 a.m. | AI Continuous Monitoring – What Is It and How Can It Be Done? Amine M. Korchi, MD |
|
| 9:40 a.m. | Do the Right (AI) Thing: Ethical and Legal Aspects Charles E. Kahn, MD, MS |
|
| 10 a.m. | Proving AI Value with Qualitative and Quantitative Metrics Nina Kottler, MD, MS |
|
| 10:20 a.m. | Q&A Amine M. Korchi, MD; Charles E. Kahn, MD, MS; Nina Kottler, MD, MS |
|
| 10:40–11:40 a.m. | Networking round table | |
| 11:40 a.m. – 1:00 p.m. | AI Topics of Interest (part one) | |
| 11:40 a.m. | Radiology AI Market Trends Amine M. Korchi, MD |
|
| 12:05 p.m. | Will AI Train – or Tame – Rads of the Future? Jason A. Poff |
|
| 12:35 p.m. | Q&A Amine M. Korchi, MD; Jason A. Poff, MD |
|
| 1–2 p.m. | Lunch | |
| 2–3 p.m. | AI Topics of Interest (part two) | |
| 2 p.m. | Guiding the Future of AI Science in Radiology Charles E. Kahn, MD, MS |
|
| 2:20 p.m. | When to Invest into AI – AI ROI Björn Jobke, MD |
|
| 2:40 p.m. | Q&A Charles E. Kahn, MD, MS; Björn Jobke, MD |
|
| 3–3:30 p.m. | Panel discussion Face Your AI Problems All faculty |
|
| 3:30 p.m. | Networking break | |
| 3:45–4:45 p.m. | Put It into Practice – Evaluation of AI Accuracy Exercise | |
| 3:45 p.m. | Interactive Session Validation of CXR AI Output Jason A. Poff, MD |
|
| 4:45–5 p.m. | Closing remarks Nina Kottler, MD, MS |
|