Practical artificial intelligence for clinicians: Start using AI today!
Thursday, May 8
12:00-13:00 or 17:20-18:20
1 hour | €20
Instructors: Drs. Dan Perri & Sameer Shaikh (McMaster University, Canada)
Eligible participants: Physicians and students interested in incorporating AI tools in their daily clinical routines. It is recommended that participants bring their laptops or work-grade tablets but this workshop will also be helpful to those who cannot bring their own computer.
Rationale: Readily available AI tools can be easily integrated into busy clinicians’ workdays to help them gain efficiency, make informed clinical decisions, educate patients for shared decision making, and keep up with rapidly advancing medical knowledge.
Learning objectives. At the end of this workshop, participants will be able to:
- Interact with conversational chat interfaces and large language models (LLMs) to help streamline administrative tasks.
- Harness the power of LLMs to help with medical decision making, clarify patient instructions, and develop educational materials.
- Use a large language model-based AI tool to ingest, analyze, and synthesize a large medical and research database to obtain high quality information quickly.
- Appreciate that AI tools can be helpful to clinicians starting today!
Advanced medical AI development with MONAI: From interactive annotation to foundation models
Thursday, May 8 | 12:00-13:00 | Kraków, Poland
1 hour | €20
Instructors: Dr. Mikael Brudfors (Senior Solution Architect, NVIDIA, UK)
Eligible participants: People interested in incorporating AI tools for medical image analysis. It is recommended that participants bring their laptops. Basic Python understanding is valuable.
Rationale: This hands-on training lab demonstrates how to build end-to-end medical AI workflows using the latest tools: MONAI Label, VISTA-3D, MAISI, and VILA-M3. Learn to combine AI-assisted annotation, interactive segmentation, synthetic data generation, and advanced visual-language understanding to create powerful medical imaging applications. Gain practical experience with these tools while understanding how they complement each other in real-world scenarios.
Learning objectives. At the end of this workshop, participants will be able to:
- Understand annotation workflows using MONAI Label.
- Utilize interactive 3D segmentation using VISTA-3D's zero-shot capabilities.
- Generate synthetic medical data with MAISI for enhanced model training.
- Implement multi-modal analysis using VILA-M3's visual-language capabilities.
- Create integrated workflows combining multiple AI models.
AI-powered medical devices and digital twins in healthcare
Thursday, May 8 | 17:20-18:20 | Kraków, Poland
1 hour | €20
Instructors: Dr. Mikael Brudfors (Senior Solution Architect, NVIDIA, UK)
Eligible participants: People interested in how to “AI-enable” medical devices such as ultrasound machines, endoscopes, etc. And how such devices could be made more autonomous.
Rationale: While AI-driven tools and robotics are increasingly recognized in medicine, many clinicians are unaware of their practical applications. This session highlights how AI-powered medical devices and digital twins can revolutionize clinical workflows, improve outcomes, and support innovation.
Learning objectives. At the end of this workshop, participants will be able to:
- Understand the role of AI in enhancing precision and autonomy in medical robotics.
- Explore how digital twins enable safe simulations of medical procedures and personalized patient care.
- Learn about workflows for autonomous imaging.
- Discuss the limitations and ethical considerations of these technologies.
- Discover how AI-powered devices and digital twins fit into the broader healthcare landscape.
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