Meet Radiobotics
at ECR 2026
Join us at booth AI-13
Meet Radiobotics at ECR 2026
We do the ground work so you can do the great work
At ECR 2026, Let’s discuss workflow optimization with AI-powered fracture detection — from reducing missed fractures to accelerating safe discharge.
Meet the RBees
Peter Ulvskjold
CEO
Check out our lightning talk on improving workflows and patient outcomes, and the 4 research presentations featuring RBfracture™.
The Power of “No”: Enhancing Triage Efficiency in Negative Fracture Radiographs
Michael Lundemann, Chief Clinical Scientific Officer
- Thursday, March 5th
- 16:40
- AI Theatre
Retrospective validation of three artificial intelligence -based fracture detection systems using local data
Juuso Heikki Jalmari Ketola, Medical Physicist
Helsinki University Hospital (HUS)
- Wednesday, March 4th
- 16:30
- M-Building - Research Stage 4
Role of artificial intelligence in assisting non-MSK specialist radiologists with tibial plateau fracture detection
Ana Isabel Hernáiz Ferrer, Radiology Resident
niversità di Pavia
- Wednesday, March 4th
- 16:30
- M-Building - Research Stage 4
Systematic Assessment of the Medical Utility of Radiology Artificial Intelligence in Fracture Detection (SAMURAI-Fracture): A multi-centre prospective cluster randomised cross-over trial
James Vaz, Clinical AI Research Fellow
Oxford University Hospitals
- Wednesday, March 4th
- 16:30
- M-Building - Research Stage 4
Comparative evaluation of commercial AI algorithms for fracture detection on musculoskeletal radiographs
James Vaz, Clinical AI Research Fellow
Oxford University Hospitals
- Wednesday, March 4th
- 16:30
- M-Building - Research Stage 4
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