Data, AI and healthcare equity: why Africa is being left behind and how synthetic data can close the gap

Kasoka Kasoka

Open source

DOI: 10.1007/s11019-026-10418-3
Published: 2026-11-05
Container: Medicine, Health Care and Philosophy
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11019-026-10418-3,
  title = {Data, AI and healthcare equity: why Africa is being left behind and how synthetic data can close the gap},
  author = {Kasoka Kasoka},
  year = {2026},
  journal = {Medicine, Health Care and Philosophy},
  doi = {10.1007/s11019-026-10418-3},
  url = {https://doi.org/10.1007/s11019-026-10418-3}
}

RIS

TY  - JOUR
TI  - Data, AI and healthcare equity: why Africa is being left behind and how synthetic data can close the gap
AU  - Kasoka Kasoka
PY  - 2026
JO  - Medicine, Health Care and Philosophy
DO  - 10.1007/s11019-026-10418-3
UR  - https://doi.org/10.1007/s11019-026-10418-3
ER  -

APA

Kasoka, K. (2026). Data, AI and healthcare equity: why Africa is being left behind and how synthetic data can close the gap. Medicine, Health Care and Philosophy. https://doi.org/10.1007/s11019-026-10418-3

Source records

crossref · retrieved 2026-11-08T01:01:44.688Z