Artificial intelligence in pediatric Wilms tumor imaging: diagnostic performance and the need for clinical oversight

Andre Ramos Pastor, Jesus Ravines Layza

Open source

DOI: 10.1590/2175-8239-jbn-2026-0083en
Published: 2026
Container: Brazilian Journal of Nephrology
Publisher: FapUNIFESP (SciELO)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1590/2175-8239-jbn-2026-0083en,
  title = {Artificial intelligence in pediatric Wilms tumor imaging: diagnostic performance and the need for clinical oversight},
  author = {Andre Ramos Pastor and Jesus Ravines Layza},
  year = {2026},
  journal = {Brazilian Journal of Nephrology},
  doi = {10.1590/2175-8239-jbn-2026-0083en},
  url = {https://doi.org/10.1590/2175-8239-jbn-2026-0083en}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in pediatric Wilms tumor imaging: diagnostic performance and the need for clinical oversight
AU  - Andre Ramos Pastor
AU  - Jesus Ravines Layza
PY  - 2026
JO  - Brazilian Journal of Nephrology
DO  - 10.1590/2175-8239-jbn-2026-0083en
UR  - https://doi.org/10.1590/2175-8239-jbn-2026-0083en
ER  -

APA

Pastor, A. R., & Layza, J. R. (2026). Artificial intelligence in pediatric Wilms tumor imaging: diagnostic performance and the need for clinical oversight. Brazilian Journal of Nephrology. https://doi.org/10.1590/2175-8239-jbn-2026-0083en

Source records

crossref · retrieved 2026-09-26T09:57:42.180Z