Diagnostic accuracy of an artificial intelligence-driven cytopathological tool in detecting cervical pre-cancerous lesions from Pap smear images.

Sang'udi S, Muhunzi D, Frank W, Mzurikwao D, Ngowi J, Amani D, Mnango LF, Mlole A, Njiro BJ, Jacob M, Sunguya B

DOI: 10.3389/fdgth.2026.1859980
Published: 2026
Container: Frontiers in digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdgth.2026.1859980,
  title = {Diagnostic accuracy of an artificial intelligence-driven cytopathological tool in detecting cervical pre-cancerous lesions from Pap smear images.},
  author = {Sang'udi S and Muhunzi D and Frank W and Mzurikwao D and Ngowi J and Amani D and Mnango LF and Mlole A and Njiro BJ and Jacob M and Sunguya B},
  year = {2026},
  journal = {Frontiers in digital health},
  doi = {10.3389/fdgth.2026.1859980},
  url = {https://doi.org/10.3389/fdgth.2026.1859980}
}

RIS

TY  - JOUR
TI  - Diagnostic accuracy of an artificial intelligence-driven cytopathological tool in detecting cervical pre-cancerous lesions from Pap smear images.
AU  - Sang'udi S
AU  - Muhunzi D
AU  - Frank W
AU  - Mzurikwao D
AU  - Ngowi J
AU  - Amani D
AU  - Mnango LF
AU  - Mlole A
AU  - Njiro BJ
AU  - Jacob M
AU  - Sunguya B
PY  - 2026
JO  - Frontiers in digital health
DO  - 10.3389/fdgth.2026.1859980
UR  - https://doi.org/10.3389/fdgth.2026.1859980
ER  -

APA

S, S., D, M., W, F., D, M., J, N., D, A., LF, M., A, M., BJ, N., M, J., & B, S. (2026). Diagnostic accuracy of an artificial intelligence-driven cytopathological tool in detecting cervical pre-cancerous lesions from Pap smear images.. Frontiers in digital health. https://doi.org/10.3389/fdgth.2026.1859980

Source records

pubmed · retrieved 2026-09-27T01:07:48.526Z