A Framework for Equitable Implementation of Artificial Intelligence in Anesthesiology Residency Selection

Kevin Zambrano, María Clara Landivar, Karina Castillo, Michella Dirani

Open source

DOI
10.1213/ane.0000000000008236
Published
2026-08-25
Container
Anesthesia & Analgesia
Publisher
Ovid Technologies (Wolters Kluwer Health)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1213/ane.0000000000008236,
  title = {A Framework for Equitable Implementation of Artificial Intelligence in Anesthesiology Residency Selection},
  author = {Kevin Zambrano and María Clara Landivar and Karina Castillo and Michella Dirani},
  year = {2026},
  journal = {Anesthesia \& Analgesia},
  doi = {10.1213/ane.0000000000008236},
  url = {https://doi.org/10.1213/ane.0000000000008236}
}

RIS

TY  - JOUR
TI  - A Framework for Equitable Implementation of Artificial Intelligence in Anesthesiology Residency Selection
AU  - Kevin Zambrano
AU  - María Clara Landivar
AU  - Karina Castillo
AU  - Michella Dirani
PY  - 2026
JO  - Anesthesia & Analgesia
DO  - 10.1213/ane.0000000000008236
UR  - https://doi.org/10.1213/ane.0000000000008236
ER  - 

APA

Zambrano, K., Landivar, M. C., Castillo, K., & Dirani, M. (2026). A Framework for Equitable Implementation of Artificial Intelligence in Anesthesiology Residency Selection. Anesthesia & Analgesia. https://doi.org/10.1213/ane.0000000000008236

Source records