Federated Learning in Endodontics: A Framework for Privacy-Preserving Multicentre Artificial Intelligence
- DOI
- 10.1016/j.identj.2026.109704
- Published
- 2026-08
- Container
- International Dental Journal
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.identj.2026.109704,
title = {Federated Learning in Endodontics: A Framework for Privacy-Preserving Multicentre Artificial Intelligence},
author = {Mohammed Turky and Lakshman Samaranayake and Thanaphum Osathanon and Paul M.H. Dummer},
year = {2026},
journal = {International Dental Journal},
doi = {10.1016/j.identj.2026.109704},
url = {https://doi.org/10.1016/j.identj.2026.109704}
}RIS
TY - JOUR TI - Federated Learning in Endodontics: A Framework for Privacy-Preserving Multicentre Artificial Intelligence AU - Mohammed Turky AU - Lakshman Samaranayake AU - Thanaphum Osathanon AU - Paul M.H. Dummer PY - 2026 JO - International Dental Journal DO - 10.1016/j.identj.2026.109704 UR - https://doi.org/10.1016/j.identj.2026.109704 ER -
APA
Turky, M., Samaranayake, L., Osathanon, T., & Dummer, P. M. (2026). Federated Learning in Endodontics: A Framework for Privacy-Preserving Multicentre Artificial Intelligence. International Dental Journal. https://doi.org/10.1016/j.identj.2026.109704
Source records
- crossref · retrieved 2026-09-25T18:20:17.030Z