Artificial intelligence for the diagnosis and prognosis of leprosy, leishmaniasis, and schistosomiasis: A systematic review

Felipe de Oliveira Franco, Letícia Gabrielle Souza, Claudia Nogueira dos Anjos, Alexandre Dias Porto Chiavegatto Filho

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DOI: 10.1371/journal.pntd.0014833
Published: 2026-11-05
Container: PLOS Neglected Tropical Diseases
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pntd.0014833,
  title = {Artificial intelligence for the diagnosis and prognosis of leprosy, leishmaniasis, and schistosomiasis: A systematic review},
  author = {Felipe de Oliveira Franco and Letícia Gabrielle Souza and Claudia Nogueira dos Anjos and Alexandre Dias Porto Chiavegatto Filho},
  year = {2026},
  journal = {PLOS Neglected Tropical Diseases},
  doi = {10.1371/journal.pntd.0014833},
  url = {https://doi.org/10.1371/journal.pntd.0014833}
}

RIS

TY  - JOUR
TI  - Artificial intelligence for the diagnosis and prognosis of leprosy, leishmaniasis, and schistosomiasis: A systematic review
AU  - Felipe de Oliveira Franco
AU  - Letícia Gabrielle Souza
AU  - Claudia Nogueira dos Anjos
AU  - Alexandre Dias Porto Chiavegatto Filho
PY  - 2026
JO  - PLOS Neglected Tropical Diseases
DO  - 10.1371/journal.pntd.0014833
UR  - https://doi.org/10.1371/journal.pntd.0014833
ER  -

APA

Franco, F. D. O., Souza, L. G., Anjos, C. N. D., & Filho, A. D. P. C. (2026). Artificial intelligence for the diagnosis and prognosis of leprosy, leishmaniasis, and schistosomiasis: A systematic review. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0014833

Source records

crossref · retrieved 2026-11-07T02:54:15.588Z