Reshaping free-text radiology notes into structured reports with generative question answering transformers.
- DOI
- 10.1016/j.artmed.2024.102924
- Published
- 2024 Aug
- Container
- Artificial intelligence in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2024.102924,
title = {Reshaping free-text radiology notes into structured reports with generative question answering transformers.},
author = {Bergomi L and Buonocore TM and Antonazzo P and Alberghi L and Bellazzi R and Preda L and Bortolotto C and Parimbelli E},
year = {2024},
journal = {Artificial intelligence in medicine},
doi = {10.1016/j.artmed.2024.102924},
url = {https://doi.org/10.1016/j.artmed.2024.102924}
}RIS
TY - JOUR TI - Reshaping free-text radiology notes into structured reports with generative question answering transformers. AU - Bergomi L AU - Buonocore TM AU - Antonazzo P AU - Alberghi L AU - Bellazzi R AU - Preda L AU - Bortolotto C AU - Parimbelli E PY - 2024 JO - Artificial intelligence in medicine DO - 10.1016/j.artmed.2024.102924 UR - https://doi.org/10.1016/j.artmed.2024.102924 ER -
APA
L, B., TM, B., P, A., L, A., R, B., L, P., C, B., & E, P. (2024). Reshaping free-text radiology notes into structured reports with generative question answering transformers.. Artificial intelligence in medicine. https://doi.org/10.1016/j.artmed.2024.102924
Source records
- pubmed · retrieved 2026-09-26T13:34:24.869Z