AI Theatre Session: Keynote

AI-SC 1 - Smart imaging, sustainable systems: AI and economics in radiology

Lectures

1
Chairperson's introduction

Chairperson's introduction

05:00Sotirios Bisdas, London / UK

2
The parallel journey: how to define an AI business case: learnings from the automotive industry

The parallel journey: how to define an AI business case: learnings from the automotive industry

20:00Ioannis Panagiotelis, Best / NL

3
How to deploy AI: locally or nationally?

How to deploy AI: locally or nationally?

20:00Sotirios Bisdas, London / UK

4
Q&A: Next steps for AI in radiology given these lessons learned

Q&A: Next steps for AI in radiology given these lessons learned

15:00Q&A: Next steps for AI in radiology given these lessons learned

5 min
Chairperson's introduction
Sotirios Bisdas, London / United Kingdom
20 min
The parallel journey: how to define an AI business case: learnings from the automotive industry
Ioannis Panagiotelis, Best / Netherlands
  1. To learn how the automotive industry integrates AI into decision-making systems and explain parallels and the concept of autonomous Imaging Workflow.
  2. To understand how healthcare can learn from automotive's successes and failures to accelerate safe AI development and deployment while avoiding costly mistakes.
  3. To understand how lessons from the automotive sector can inform safe and effective AI adoption in healthcare.
20 min
How to deploy AI: locally or nationally?
Sotirios Bisdas, London / United Kingdom
  1. To learn about the different models of AI deployment in radiology, from local hospital implementations to over regional infrastructures.
  2. To appreciate the advantages and challenges of each approach, including scalability, governance, cost, interoperability, and patient trust.
  3. To understand which deployment strategy best support value-based radiology.
15 min
Q&A: Next steps for AI in radiology given these lessons learned