Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins

arXiv:2610.08464 · cs.CR, cs.RO · Submitted 2026-10-06 · Read on arXiv

cs.CR, cs.RO

Submitted: 2026-10-06

Updated: 2026-10-06

Comments: Presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026) Workshop on Surgical Digital Twins (SurgTwin). 3 pages, 1 figure

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Digital Twin — 2× in this paper · explained in 5 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Differential Privacy — 1× in this paper · explained in 4 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Cosmos-Surg-dVRK: World Foundation Model-based Automated Online Evaluation of Surgical Robot Policy Learning
• Position: Foundation Models Need Digital Twin Representations
• Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models
• A Comprehensive Survey on Surgical Digital Twin

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