SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare.
- DOI
- 10.1371/journal.pdig.0001290
- Published
- 2026 Mar
- Container
- PLOS digital health
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pdig.0001290,
title = {SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare.},
author = {Callender T and Boyd A and Davis R and Ruhrberg Estevez S and Lavista Ferres JM and van der Schaar M},
year = {2026},
journal = {PLOS digital health},
doi = {10.1371/journal.pdig.0001290},
url = {https://doi.org/10.1371/journal.pdig.0001290}
}RIS
TY - JOUR TI - SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare. AU - Callender T AU - Boyd A AU - Davis R AU - Ruhrberg Estevez S AU - Lavista Ferres JM AU - van der Schaar M PY - 2026 JO - PLOS digital health DO - 10.1371/journal.pdig.0001290 UR - https://doi.org/10.1371/journal.pdig.0001290 ER -
APA
T, C., A, B., R, D., S, R. E., JM, L. F., & M, V. D. S. (2026). SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare.. PLOS digital health. https://doi.org/10.1371/journal.pdig.0001290
Source records
- pubmed · retrieved 2026-11-10T12:44:24.490Z
- europe-pmc · retrieved 2026-11-10T12:44:24.511Z