Program
Ensure your practice remains at the forefront of innovation and supportive patient care.
Through interactive lectures, case-based discussions and collaborative exercises, 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 information
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
Learning objectives
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 | |
| 9–9:30 a.m. | Welcome and course introduction Nina Kottler, MD, MS |
|
| 9:30 – 10:30 a.m. | Basic Concepts AI | |
| 9:30 a.m. | How Should We Guide AI? How Will AI Change Us? Charles E. Kahn, MD, MS |
|
| 9:50 a.m. | What is the Radiologist's Future Role – Gartner Hype Cycle Nina Kottler, MD, MS Augmentative vs. Autonomous AI – What Changes are We Starting to See? (AI Reporting and Workflow) Nina Kottler, MD, MS |
|
| 10:10 a.m. | Transitioning From Population Health to Precision Medicine – Explaining the Science (Tumor Segmentation, Radiogenomics, Prediction) Evis Sala, MD, PhD |
|
| 10:30–11 a.m. | Interactive session Learning from the Audience – Problems They Are Facing with AI |
|
| 11–11:15 a.m. | Break | |
| 11:15 a.m. – 1 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. | Method for AI selection (Review of Five Step Clinical Process) Jason A. Poff, MD |
|
| 12:15 p.m. | Deep Dive on Clinical Metrics Jason A. Poff, MD |
|
| 12:45 p.m. | Q&A | |
| 1–2 p.m. | Lunch | |
| 2:30–4:30 p.m. | Implementing AI | |
| 2:30 p.m. | Practical Considerations to Build, Buy, and Implement AI Charles E. Kahn, MD, MS |
|
| 2:50 p.m. | Local Practice's Experience Using AI Björn Jobke, MD |
|
| 3:10 p.m. | Lessons Learned using AI in Practice Amine M. Korchi, MD |
|
| 3:30 p.m. | Data Orchestration – What Is It and Why Is It Important? Nina Kottler, MD, MS |
|
| 3:50 p.m. | Designing Projects and Conducting Research Using AI in Clinical Practice Evis Sala, MD, PhD |
|
| 4:10 p.m. | Rad Training, Bias, and Bias Mitigation Björn Jobke, MD |
|
| 4:30–5 p.m. | Q&A | |
| 5 p.m. | Closing remarks | |
| 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 | |
| 9:15–10:45 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 |
|
| 9:35 a.m. | Ethical and Legal Aspects Charles E. Kahn, MD, MS |
|
| 9:55 a.m. | Proving AI Value with Qualitative and Quantitative Metrics Nina Kottler, MD, MS |
|
| 10:15 a.m. | Q&A | |
| 10:45–11:15 a.m. | Networking break | |
| 11:15 a.m. – 12:45 p.m. | AI Topics of Interest (part one) | |
| 11:15 a.m. | Radiology AI Market Trends Amine M. Korchi, MD |
|
| 11:45 a.m. | Linking Diagnostics and Theranostics – Examples Evis Sala, MD, PhD |
|
| 12:15 p.m. | Educating Rads of the Future Jason A. Poff |
|
| 12:45 p.m. | Q&A | |
| 1–2 p.m. | Lunch | |
| 2–3:15 p.m. | AI Topics of Interest (part two) | |
| 2 p.m. | To Buy AI or Not to Buy? Charles E. Kahn, MD, MS |
|
| 2:20 p.m. | How to Afford the Cost of AI – AI ROI Björn Jobke, MD |
|
| 2:40 p.m. | Q&A | |
| 3–3:30 p.m. | Panel discussion All faculty |
|
| 3:30–4:30 p.m. | Put It Into Practice – Evaluation of AI Accuracy Exercise | |
| 3:30 p.m. | Attendee Interactive Validation of CXR AI Output (Is AI Right or Wrong? Categorization of AI Pitfalls; AI to Rad Report Preference Testing) Jason A. Poff, MD |
|
| 4:30 p.m. | Closing remarks Nina Kottler, MD, MS |
|