Description
Interventional procedures are increasingly supported by intelligent robotic systems capable of perceiving, reasoning, and acting in complex clinical environments. Recent advances in artificial intelligence, multimodal imaging, and robotic control are accelerating the transition from conventional teleoperation toward high-level autonomy.
However, clinical deployment remains limited. The core challenges are:
- Robust perception under occlusions, bleeding, radiation-based imaging, and anatomical variability
- Real-time multimodal image integration across fluoroscopy, CT, ultrasound, and endoscopy
- Navigation and control in complex cardiovascular anatomies
- Safe shared autonomy and humanโrobot collaboration
- Generalisation across patients, procedures, and institutions
- Regulatory, ethical, and accountability frameworks
This workshop presents two perspectives on intelligent robotic intervention:
Part I โ Autonomous Surgical Systems
Focus on perception, workflow understanding, and clinically deployable autonomous surgical assistants.
Part II โ Autonomy and Multimodal Image in Cardiovascular Robotics
Focus on AI-driven catheter navigation, multimodal image fusion, precision manipulation, and the progression toward improved procedural safety in constrained vascular environments.
We will soon be accepting poster submissions for this workshop. Please submit your entry here.
Call Opens: 1 April 2026
Submission Deadline: 11 May 2026
Notification of Acceptance: 1 June 2026
Programme
Posted in May 2026
Learning Outcomes
By the end of this workshop, participants will gain a comprehensive understanding of the clinical, technical, and regulatory challenges shaping autonomous and intelligent interventional medical systems. Building on this foundation, the workshop will highlight emerging approaches in robotic control, shared autonomy, and humanโrobot collaboration, with particular attention to safety, interpretability, and real-world validation.
Participants will further develop insight into the key clinical constraints, workflow requirements, and failure modes that currently limit the large-scale deployment of autonomous systems.
Understanding these barriers will help frame the discussion on how robotic technologies can be translated responsibly into practice and broaden access to high-quality care, including in hospitals with limited resources.
Finally, the workshop will foster interdisciplinary dialogue among engineers, clinicians, and industry partners to accelerate the development of trustworthy, scalable, and accessible robotic intervention technologies.

Sponsor This Workshop – AIIMS – Autonomous and Intelligent Interventional Medical Systems: Autonomous Surgical Assistant and Cardiovascular Innovation
Suggested Price: £500.00
Sponsor This Workshop for ยฃ500
As an official Workshop Sponsor, sponsors will receive:
โข Prominent logo placement on the workshop webpage
โข Acknowledgement in workshop-related social media posts (LinkedIn, X, and Instagram)/and cross-posting from organiser accounts
โข Recognition on prize certificates presented to participants
Sponsorship contributions will support essential workshop operational costs, including speaker travel and accommodation, poster prizes, and participant registration fees.
Please note that workshop sponsorship is separate from the symposium sponsorship packages and does not include exhibition or live demonstration opportunities.
You may also enter your own price below. Suggested amount: ยฃ500
Organisers
- Dr. Xiu Zhang, SantโAnna School of Advanced Studies
- Dr. Elisa Iovene, University of Modena and Reggio Emilia
- Dr. Olatunji Omisore, Central Queensland University
-
Dr. Di Wu, University of Southern Denmark
-
Dr. Aldo Marzullo, Politecnico di Milano
-
Dr. Dominic Jones, University of Leeds
- Prof. Elena De Momi, Politecnico di Milano
- Prof. Federica Ferraguti, University of Modena and Reggio Emilia
- Prof. Christos Bergeles, King’s College London
- Prof. Pietro Valdastri,University of Leeds
- Prof. Arianna Menciassi, SantโAnna School of Advanced Studies
This workshop is accredited for 6 CPD points.

