CIRSE Annual Congress

September 13-17 | Barcelona, Spain

Pioneering progress

September 13-17 | Barcelona, Spain

Pioneering progress

September 13-17 | Barcelona, Spain

September 13-17 | Barcelona, Spain

September 13-17 | Barcelona, Spain

Pioneering progress
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ProgrammeSPHAIRE – Artificial Intelligence in IR

SPHAIRE – Artificial Intelligence in IR

Artificial intelligence has become crucial for the further improvement of interventional radiology treatments. With SPHAIRE, CIRSE 2025 attendees will have the chance to learn about the latest developments in AI through lectures, a workshop, and a dedicated exhibition with the aim of deepening the understanding of what AI can bring to interventional radiology.

SPHAIRE Programme

  • Saturday, Sept. 13
  • Sunday, Sept. 14
  • Monday, Sept. 15
  • Tuesday, Sept. 16

Session

16:15 – 17:15: SPH 169 – AI in IR: pre, post and intraprocedure prediction models (News on Stage)

 

Sessions

10:00 – 11:00: SPH 228 – AI in IR: education, navigation and workflow optimization (News on Stage)

16:15 – 17:15: SPH 169 – AI in IR: pre, post and intraprocedure prediction models (News on Stage)

Session and hands-on workshop

10:00 – 12:00: SPH 327 – Hands-on Workshop on AI development (Room 118) – For more information, see below

16:15 – 17:15: SPH 360 – AI in IR: machine learning, SOP and collaborative development (News on Stage)

Session

10:00 – 11:00: SPH 427 – AI in IR: automated segmentation and personalized prediction (News on Stage)

AI in IR workshop

Monday, Sep. 15, 10:00-12:00, Room 118

Participants in this exclusive workshop will learn from experts in the field who will discuss AI applications and the possibilities they offer.

The workshop will be strictly limited to 30 participants to guarantee a high degree of interactivity. Interested parties are invited to apply by September 1 to take part in this exclusive event.

Successful candidates will be notified on Sep. 5. Workshop participants must register for CIRSE 2025 and associated costs are the responsibility of the attendee.

Apply now

Workshop agenda

  • Current challenges
  • Potential of AI in radiology
  • Overview of use cases of AI applications in interventional radiology

 

  • Explanation of the AI development cycle:
    1. Key steps: problem identification, data collection, model training, validation, and deployment
    2. Resources needed: data science expertise, computational resources, etc.

 

  • Discussion of common challenges (data quality, bias, regulatory hurdles)
  • Strategies for overcoming these challenges

 

  • Walkthrough of AI Innovation Platform features:
    1. Onboarding
    2. Infra provisioning & FinOps
  • Security
    1. Data marketplace
    2. Digital assistant

 

  • Hands-on AIIP: Showcase of AIIP capabilities using pre-registered accounts and how it can assist in accelerating AI development
    1. Workspace creation & cloud infra provisioning
    2. Data search & order from marketplace
  • Annotation framework provisioning
    1. AI development (dummy example)

 

  • Open floor for questions and discussion
  • Summary of key takeaways