A framework for extraction of clinical information from radiological mammography reports using large language models and retrieval augmented generation
- DOI
- 10.1186/s12911-026-03633-8
- Published
- 2026-09-10
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03633-8,
title = {A framework for extraction of clinical information from radiological mammography reports using large language models and retrieval augmented generation},
author = {Eduardo Godoy and Joaquín De Ferrari and Sofia Lazo and Catalina Pacheco and Diego Mellado and Alex Saez and Steren Chabert and Rodrigo Salas},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03633-8},
url = {https://doi.org/10.1186/s12911-026-03633-8}
}RIS
TY - JOUR TI - A framework for extraction of clinical information from radiological mammography reports using large language models and retrieval augmented generation AU - Eduardo Godoy AU - Joaquín De Ferrari AU - Sofia Lazo AU - Catalina Pacheco AU - Diego Mellado AU - Alex Saez AU - Steren Chabert AU - Rodrigo Salas PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03633-8 UR - https://doi.org/10.1186/s12911-026-03633-8 ER -
APA
Godoy, E., Ferrari, J. D., Lazo, S., Pacheco, C., Mellado, D., Saez, A., Chabert, S., & Salas, R. (2026). A framework for extraction of clinical information from radiological mammography reports using large language models and retrieval augmented generation. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03633-8
Source records
- crossref · retrieved 2026-09-25T10:15:46.612Z