Comparing decentralized machine learning and AI clinical models to local and centralized alternatives: a systematic review
- DOI
- 10.1038/s41746-025-02329-z
- Published
- 2026-02-14
- Container
- npj Digital Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41746-025-02329-z,
title = {Comparing decentralized machine learning and AI clinical models to local and centralized alternatives: a systematic review},
author = {José Miguel Diniz and Henrique Vasconcelos and Rita Rb-Silva and Carolina Ameijeiras-Rodriguez and Daniel Rodrigues and Pedro Ramos and António Tomás and Yu Gao and Júlio Souza and Alberto Freitas},
year = {2026},
journal = {npj Digital Medicine},
doi = {10.1038/s41746-025-02329-z},
url = {https://doi.org/10.1038/s41746-025-02329-z}
}RIS
TY - JOUR TI - Comparing decentralized machine learning and AI clinical models to local and centralized alternatives: a systematic review AU - José Miguel Diniz AU - Henrique Vasconcelos AU - Rita Rb-Silva AU - Carolina Ameijeiras-Rodriguez AU - Daniel Rodrigues AU - Pedro Ramos AU - António Tomás AU - Yu Gao AU - Júlio Souza AU - Alberto Freitas PY - 2026 JO - npj Digital Medicine DO - 10.1038/s41746-025-02329-z UR - https://doi.org/10.1038/s41746-025-02329-z ER -
APA
Diniz, J. M., Vasconcelos, H., Rb-Silva, R., Ameijeiras-Rodriguez, C., Rodrigues, D., Ramos, P., Tomás, A., Gao, Y., Souza, J., & Freitas, A. (2026). Comparing decentralized machine learning and AI clinical models to local and centralized alternatives: a systematic review. npj Digital Medicine. https://doi.org/10.1038/s41746-025-02329-z
Source records
- crossref · retrieved 2026-11-10T02:07:01.918Z