Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings.

Innocent DC, Innocent RC, Innocent IP

Open source

DOI: 10.3389/fdgth.2026.1900500
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.2026.1900500,
  title = {Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings.},
  author = {Innocent DC and Innocent RC and Innocent IP},
  year = {2026},
  journal = {Frontiers in digital health},
  doi = {10.3389/fdgth.2026.1900500},
  url = {https://doi.org/10.3389/fdgth.2026.1900500}
}

RIS

TY  - JOUR
TI  - Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings.
AU  - Innocent DC
AU  - Innocent RC
AU  - Innocent IP
PY  - 2026
JO  - Frontiers in digital health
DO  - 10.3389/fdgth.2026.1900500
UR  - https://doi.org/10.3389/fdgth.2026.1900500
ER  -

APA

DC, I., RC, I., & IP, I. (2026). Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings.. Frontiers in digital health. https://doi.org/10.3389/fdgth.2026.1900500

Source records

pubmed · retrieved 2026-09-25T03:22:47.939Z
europe-pmc · retrieved 2026-09-25T03:22:47.985Z
doaj · retrieved 2026-09-25T03:22:47.943Z