The generative revolution: AI foundation models in geospatial health-applications, challenges and future research.

Resch B, Kolokoussis P, Hanny D, Brovelli MA, Kamel Boulos MN

DOI: 10.1186/s12942-025-00391-0
Published: 2025 Apr 2
Container: International journal of health geographics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12942-025-00391-0,
  title = {The generative revolution: AI foundation models in geospatial health-applications, challenges and future research.},
  author = {Resch B and Kolokoussis P and Hanny D and Brovelli MA and Kamel Boulos MN},
  year = {2025},
  journal = {International journal of health geographics},
  doi = {10.1186/s12942-025-00391-0},
  url = {https://doi.org/10.1186/s12942-025-00391-0}
}

RIS

TY  - JOUR
TI  - The generative revolution: AI foundation models in geospatial health-applications, challenges and future research.
AU  - Resch B
AU  - Kolokoussis P
AU  - Hanny D
AU  - Brovelli MA
AU  - Kamel Boulos MN
PY  - 2025
JO  - International journal of health geographics
DO  - 10.1186/s12942-025-00391-0
UR  - https://doi.org/10.1186/s12942-025-00391-0
ER  -

APA

B, R., P, K., D, H., MA, B., & MN, K. B. (2025). The generative revolution: AI foundation models in geospatial health-applications, challenges and future research.. International journal of health geographics. https://doi.org/10.1186/s12942-025-00391-0

Source records

pubmed · retrieved 2026-09-26T15:43:45.048Z