Reporting efficiency in diagnostic imaging: Can plug-and-play general-purpose large language models outperform conventional speech recognition?
- DOI
- 10.1007/s00330-026-12524-5
- Published
- 2026-04-20
- Container
- European Radiology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00330-026-12524-5,
title = {Reporting efficiency in diagnostic imaging: Can plug-and-play general-purpose large language models outperform conventional speech recognition?},
author = {Constance de Margerie-Mellon and Loic Duron and Laure Fournier and Lenny Ouakil and Gilles Soulat and Pedro Gondim Teixeira},
year = {2026},
journal = {European Radiology},
doi = {10.1007/s00330-026-12524-5},
url = {https://doi.org/10.1007/s00330-026-12524-5}
}RIS
TY - JOUR TI - Reporting efficiency in diagnostic imaging: Can plug-and-play general-purpose large language models outperform conventional speech recognition? AU - Constance de Margerie-Mellon AU - Loic Duron AU - Laure Fournier AU - Lenny Ouakil AU - Gilles Soulat AU - Pedro Gondim Teixeira PY - 2026 JO - European Radiology DO - 10.1007/s00330-026-12524-5 UR - https://doi.org/10.1007/s00330-026-12524-5 ER -
APA
Margerie-Mellon, C. D., Duron, L., Fournier, L., Ouakil, L., Soulat, G., & Teixeira, P. G. (2026). Reporting efficiency in diagnostic imaging: Can plug-and-play general-purpose large language models outperform conventional speech recognition?. European Radiology. https://doi.org/10.1007/s00330-026-12524-5
Source records
- crossref · retrieved 2026-09-27T03:11:26.361Z