Artificial intelligence and robotic innovations in non-oncological interventional radiology
Artificial intelligence (AI) and robotic technologies are rapidly transforming the field of interventional radiology, offering new opportunities to enhance precision, safety, and efficiency across a wide range of non-oncological procedures. This webinar will provide an overview of the fundamental principles of AI, machine learning, and deep learning, and explore how these technologies are being applied in vascular, hepatobiliary, musculoskeletal, and pulmonary interventions. Participants will gain insight into the latest innovations in procedural planning, patient selection, image guidance, navigation, and robotic-assisted interventions that are shaping the future of minimally invasive care.
The session will also examine the role of AI in dose optimization, image quality enhancement, and post-procedural assessment and follow-up, highlighting its potential to improve clinical outcomes and workflow efficiency. In addition, speakers will discuss key challenges related to data quality, validation, implementation, and regulatory considerations, while providing a forward-looking perspective on emerging research and future opportunities. Designed for the interventional radiology community, this webinar will equip attendees with the knowledge needed to understand, evaluate, and integrate AI-driven and robotic solutions into routine non-oncological interventional practice.
Learning objectives
- Understand how AI improves patient selection and procedural planning in non-oncological interventional radiology.
- Evaluate the use of AI for real-time procedural guidance and risk prediction.
- Identify practical applications of AI in vascular, embolization, and complex endovascular procedures.
- Assess how robotic systems enhance precision, consistency, and procedural efficiency.
- Recognize the role of AI in follow-up, quality improvement, and clinical workflow integration.
Programme
Introduction by the moderators
Anna Maria Ierardi (Milan/IT), Peter Minko (Düsseldorf/DE)
AI in pre-procedural applications and risk assessment
Sara Lojo Lendoiro (Ferrol/ES)
AI for intra-procedural guidance and dose optimization
Emanuele Barabino (Genoa/IT)
Robotic applications in non-oncological interventions – Part 1
Marco van Strijen (Nieuwegein/NL)
Robotic applications in non-oncological interventions – Part 2
Brian Moloney (Galway/IE)
AI in post-procedural assessment and follow-up
Onur Taydas (Sakarya/TR)
Discussion and Q&A
Take-home points by the moderators
Anna Maria Ierardi (Milan/IT), Peter Minko (Düsseldorf/DE)
Faculty
Moderator
Anna Maria Ierardi
Moderator
(Milan/IT)
Peter Minko
Moderator
(Düsseldorf/DE)
Speakers
Emanuele Barabino
Speaker
(Genoa/IT)
Sara Lojo Lendoiro
Speaker
(Ferrol/ES)
Brian Moloney
Speaker
(Galway/IE)
Marco van Strijen
Speaker
(Nieuwegein/NL)
Onur Taydas
Speaker
(Sakarya/TR)
CME Accreditation
The CIRSE Webinar “Artificial intelligence and robotic innovations in non-oncological interventional radiology”, Vienna (ONLINE), Austria, 24/09/2026-24/09/2026 has been accredited by the European Accreditation Council for Continuing Medical Education (EACCME®) with 1.5 European CME credits (ECMEC®). Each medical specialist should claim only those hours of credit that he/she actually spent in the educational activity.
The accreditation is valid for the live event, as well as the on-demand content for a period of 6 months after the live webinar. Click here to learn more.
Join free of charge!
Access to this webinar is available free of charge to all interested parties. All you need is your CIRSE login details. Don’t have a CIRSE account yet? Not to worry! It only takes two minutes to set up a new account which will enable you to register.