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

BackgroundThis study aims to describe our experience in fine-tuning an LLM-as-a-Judge to evaluate the quality of clinical text summarization in the field of radiology and to formalize the main problems we encountered in solving this task.MethodsIn this study, information from the Russian language el...

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Autori principali:	Aleksandr Borisov, Tikhon Burtsev, Pavel Kosov, Tatiana Bobrovskaya, Yuri Vasilev, Anton Vladzymyrskyy, Olga Omelyanskaya, Anastasia Pamova, Kirill Arzamasov
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2026-03-01
Serie:	Frontiers in Artificial Intelligence
Soggetti:	clinical summarization EHR (electronic health record) large langauge models LLM-as-a-judge radiology
Accesso online:	https://www.frontiersin.org/articles/10.3389/frai.2026.1768005/full
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