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Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events

The work treats population-scale adverse-event surveillance as a distinct belief layer of a surgical digital twin, evaluated with a federated Bayesian protocol under formal privacy guarantees: sites exchange only differentially private natural-parameter updates. Benchmarking uses the full FDA MAUDE cohort for thrombus-retrieval catheters — 8,617 reports, 6,491 classified into five complication classes across eight manufacturer sites.

Why it matters

It demonstrates how to pool fragmented industry data for risk estimation without centralising sensitive information — a transferable pattern for sectoral digital twins.

Relevant to DT products

Original headline
Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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