Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins
A federated Bayesian protocol for learning population-scale adverse-event surveillance as a distinct belief layer of the surgical digital twin is proposed, and a federated Bayesian protocol for learning it under formal privacy guarantees is evaluated.
Damini Rijhwani
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