Using artificial intelligence to uncover keywords associated with resident EPA entrustability.
- DOI
- 10.1016/j.amjsurg.2026.116980
- Published
- 2026 Oct
- Container
- American journal of surgery
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.amjsurg.2026.116980,
title = {Using artificial intelligence to uncover keywords associated with resident EPA entrustability.},
author = {Agathis AZ and Yang J and Lazar DJ and Chan L and Fefferman AM and Wu JZ and Divino CM},
year = {2026},
journal = {American journal of surgery},
doi = {10.1016/j.amjsurg.2026.116980},
url = {https://doi.org/10.1016/j.amjsurg.2026.116980}
}RIS
TY - JOUR TI - Using artificial intelligence to uncover keywords associated with resident EPA entrustability. AU - Agathis AZ AU - Yang J AU - Lazar DJ AU - Chan L AU - Fefferman AM AU - Wu JZ AU - Divino CM PY - 2026 JO - American journal of surgery DO - 10.1016/j.amjsurg.2026.116980 UR - https://doi.org/10.1016/j.amjsurg.2026.116980 ER -
APA
AZ, A., J, Y., DJ, L., L, C., AM, F., JZ, W., & CM, D. (2026). Using artificial intelligence to uncover keywords associated with resident EPA entrustability.. American journal of surgery. https://doi.org/10.1016/j.amjsurg.2026.116980
Source records
- pubmed · retrieved 2026-09-27T08:17:01.179Z