Application of artificial intelligence regarding the performance of the predictive criteria of the American Society for Gastrointestinal Endoscopy in the diagnosis of choledocholithiasis.
- DOI
- 10.1016/j.rgmxen.2024.06.002
- Published
- 2024 Oct-Dec
- Container
- Revista de gastroenterologia de Mexico (English)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.rgmxen.2024.06.002,
title = {Application of artificial intelligence regarding the performance of the predictive criteria of the American Society for Gastrointestinal Endoscopy in the diagnosis of choledocholithiasis.},
author = {Castrillón-Lozano JA and Arango-Cárdenas D and Botero-Palacio S},
year = {2024},
journal = {Revista de gastroenterologia de Mexico (English)},
doi = {10.1016/j.rgmxen.2024.06.002},
url = {https://doi.org/10.1016/j.rgmxen.2024.06.002}
}RIS
TY - JOUR TI - Application of artificial intelligence regarding the performance of the predictive criteria of the American Society for Gastrointestinal Endoscopy in the diagnosis of choledocholithiasis. AU - Castrillón-Lozano JA AU - Arango-Cárdenas D AU - Botero-Palacio S PY - 2024 JO - Revista de gastroenterologia de Mexico (English) DO - 10.1016/j.rgmxen.2024.06.002 UR - https://doi.org/10.1016/j.rgmxen.2024.06.002 ER -
APA
JA, C., D, A., & S, B. (2024). Application of artificial intelligence regarding the performance of the predictive criteria of the American Society for Gastrointestinal Endoscopy in the diagnosis of choledocholithiasis.. Revista de gastroenterologia de Mexico (English). https://doi.org/10.1016/j.rgmxen.2024.06.002
Source records
- pubmed · retrieved 2026-09-26T18:19:57.728Z