Federated learning in a regulator-audited secure processing environment: a multi-hospital deployment study

Federated learning for privacy-preserving opportunistic screening of lumbar-spine DXA-defined osteoporotic-level bone mineral density using chest radiographs: A multi-center independent validation study
Bo-Ru Lin, Ming-Yueh Huang, Wei-Chung Sun +4
Osteoporosis and sarcopenia26 Jun 2026Peer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
Dental arch classification using deep learning and federated learning on DenPAR radiographs
Abdullah Qureshi, Qurat Ul Ain Aini, Evgeny Solomin +3
Scientific Reports1 Jul 2026Peer-reviewedCC BYFull textGeneral medicineDOAJ
DRFAS-enhanced personalized federated learning for secure and robust cardiovascular disease detection
V. Karthik, OmKumar ChandraUmakantham, Sudhakaran Gajendran +1
Scientific Reports1 Jul 2026Peer-reviewedCC BYFull textGeneral medicineDOAJ
Multi-Version Evaluation of Deep Learning Architectures for Tibial Plateau Fracture Detection and Deployment in a Web-Based Clinical Support System.
Han-Ting Shih, Yuan-Hsin Sung, Endah Kristiani +2
Diagnostics (Basel, Switzerland)27 Sep 2026Peer-reviewedCC BYFull textGeneral medicineEurope PMC
Federated graph learning with spatio-temporal dynamics for cross-border recommendation
Zhizhong Tan, Yuheng Wang, Jiexin Zheng +3
Scientific Reports1 Jul 2026Peer-reviewedCC BYFull textGeneral medicineDOAJ

Cite

BibTeX

@misc{nieminen2026federated,
  title = {{Federated learning in a regulator-audited secure processing environment: a multi-hospital deployment study}},
  author = {V. Nieminen and H. Schultze and S. Kukkurainen and H. J. Rantala and L. Hakkarainen and P.-E. Gustafsson and T. Hakala and E. Turunen and M. Johansson and T. Laitinen and D. Tsallos and K. Porkka and A. Virkki and J. Schultze and E. Fey},
  howpublished = {medRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.15.26363093},
  url = {https://www.medrxiv.org/content/10.64898/2026.09.15.26363093v1},
}

RIS

TY  - UNPB
TI  - Federated learning in a regulator-audited secure processing environment: a multi-hospital deployment study
AU  - V. Nieminen
AU  - H. Schultze
AU  - S. Kukkurainen
AU  - H. J. Rantala
AU  - L. Hakkarainen
AU  - P.-E. Gustafsson
AU  - T. Hakala
AU  - E. Turunen
AU  - M. Johansson
AU  - T. Laitinen
AU  - D. Tsallos
AU  - K. Porkka
AU  - A. Virkki
AU  - J. Schultze
AU  - E. Fey
PY  - 2026
DA  - 2026/09/15
PB  - medRxiv
DO  - 10.64898/2026.09.15.26363093
UR  - https://www.medrxiv.org/content/10.64898/2026.09.15.26363093v1
ER  -

Related

Cite