Mapping COVID-19 Artificial Intelligence (AI) Research in Medical Imaging: A Bibliometric Analysis of Datasets, Trends, and Clinical Challenges.

Menoudji Djetoyom P, Ngueilbaye A, Abakar Hamid A, Akofala A

DOI: 10.7759/cureus.111190
Published: 2026 Jun
Container: Cureus
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7759/cureus.111190,
  title = {Mapping COVID-19 Artificial Intelligence (AI) Research in Medical Imaging: A Bibliometric Analysis of Datasets, Trends, and Clinical Challenges.},
  author = {Menoudji Djetoyom P and Ngueilbaye A and Abakar Hamid A and Akofala A},
  year = {2026},
  journal = {Cureus},
  doi = {10.7759/cureus.111190},
  url = {https://doi.org/10.7759/cureus.111190}
}

RIS

TY  - JOUR
TI  - Mapping COVID-19 Artificial Intelligence (AI) Research in Medical Imaging: A Bibliometric Analysis of Datasets, Trends, and Clinical Challenges.
AU  - Menoudji Djetoyom P
AU  - Ngueilbaye A
AU  - Abakar Hamid A
AU  - Akofala A
PY  - 2026
JO  - Cureus
DO  - 10.7759/cureus.111190
UR  - https://doi.org/10.7759/cureus.111190
ER  -

APA

P, M. D., A, N., A, A. H., & A, A. (2026). Mapping COVID-19 Artificial Intelligence (AI) Research in Medical Imaging: A Bibliometric Analysis of Datasets, Trends, and Clinical Challenges.. Cureus. https://doi.org/10.7759/cureus.111190

Source records

pubmed · retrieved 2026-09-25T23:17:08.205Z