Key aspects of fine-tuning and applying LLM-as-a-judge for clinical data summaries in the radiological workflow

Aleksandr Borisov, Tikhon Burtsev, Pavel Kosov, Tatiana Bobrovskaya, Yuri Vasilev, Anton Vladzymyrskyy, Olga Omelyanskaya, Anastasia Pamova, Kirill Arzamasov

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DOI: 10.3389/frai.2026.1768005
Published: 2026-03-19
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1768005,
  title = {Key aspects of fine-tuning and applying LLM-as-a-judge for clinical data summaries in the radiological workflow},
  author = {Aleksandr Borisov and Tikhon Burtsev and Pavel Kosov and Tatiana Bobrovskaya and Yuri Vasilev and Anton Vladzymyrskyy and Olga Omelyanskaya and Anastasia Pamova and Kirill Arzamasov},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1768005},
  url = {https://doi.org/10.3389/frai.2026.1768005}
}

RIS

TY  - JOUR
TI  - Key aspects of fine-tuning and applying LLM-as-a-judge for clinical data summaries in the radiological workflow
AU  - Aleksandr Borisov
AU  - Tikhon Burtsev
AU  - Pavel Kosov
AU  - Tatiana Bobrovskaya
AU  - Yuri Vasilev
AU  - Anton Vladzymyrskyy
AU  - Olga Omelyanskaya
AU  - Anastasia Pamova
AU  - Kirill Arzamasov
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1768005
UR  - https://doi.org/10.3389/frai.2026.1768005
ER  -

APA

Borisov, A., Burtsev, T., Kosov, P., Bobrovskaya, T., Vasilev, Y., Vladzymyrskyy, A., Omelyanskaya, O., Pamova, A., & Arzamasov, K. (2026). Key aspects of fine-tuning and applying LLM-as-a-judge for clinical data summaries in the radiological workflow. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1768005

Source records

crossref · retrieved 2026-09-26T07:07:52.748Z