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Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins — arXiv:2610.08464

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.08464
License (as archived): CC0-1.0
Archived: 2026-10-07T11:35:18.778Z
SHA-256 of the archived text: 264a5dba3fdd2763558426bd05d7e17cd72c9eb4a4cea3d85a7e8cab71720b21
Stable URL of this page: https://metraipolis.com/documento/dc_20022f2fbca2

How to cite

Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins — arXiv:2610.08464 — arXiv (en), https://arxiv.org/abs/2610.08464 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_20022f2fbca2 (Metraipolis archive dc_20022f2fbca2, sha256 264a5dba3fdd2763558426bd05d7e17cd72c9eb4a4cea3d85a7e8cab71720b21)

BibTeX

@misc{dc20022f2fbca2,
  title = {Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins — arXiv:2610.08464},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.08464},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_20022f2fbca2; sha256 264a5dba3fdd2763558426bd05d7e17cd72c9eb4a4cea3d85a7e8cab71720b21},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.08464. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Learned surgical simulators and world models can roll out plausible procedural futures, but they carry no grounded estimate of how often interventional devices actually harm patients. We propose treating population-scale adverse-event surveillance as a distinct belief layer of the surgical digital twin, and we evaluate a federated Bayesian protocol for learning it under formal privacy guarantees. Each site holds per-class Gamma-Poisson posteriors over adverse-event rates and exchanges only Rényi-differentially-private natural-parameter updates. We benchmark on the complete FDA MAUDE cohort for thrombus-retrieval catheters (product code NRY): 8,617 reports, of which 6,491 are classified by transparent keyword rules into five thrombectomy complication classes and partitioned across $K=8$ manufacturer sites. At a matched privacy budget of $(\\varepsilon \\approx 2.09, \\delta = 10^{-5})$, the conjugate protocol attains a held-out Poisson score of -5.78 per test event versus -26.58 for FedAvg with differential privacy. The non-private federated model also outperforms centralized pooling (+3.19 vs +2.93), evidence that manufacturer-specific complication profiles are real and that federation preserves them. Because MAUDE lacks procedure denominators, outputs are relative rate orderings rather than absolute risks, and we report all privacy-utility operating points.

Tema degli esploratori: fiducia digitale e crittografia (elenco arXiv cs.CR, nuovi lavori del giorno).
Categorie arXiv: Cryptography and Security (cs.CR) ; Robotics (cs.RO).
Pagina del lavoro: https://arxiv.org/abs/2610.08464 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-07T11:18:39.699Z dalla pagina https://arxiv.org/list/cs.CR/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).