Evaluating Medical Text Summaries Using Automatic Evaluation Metrics and LLM-as-a-Judge Approach: A Pilot Study

<b>Background:</b> Electronic health records (EHRs) remain a vital source of clinical information, yet processing these heterogeneous data is extremely labor-intensive. Summarization of these data using Large Language Models (LLMs) is considered a promising tool to support practicing physicians. Unb...

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Principais autores:	Yuriy Vasilev, Irina Raznitsyna, Anastasia Pamova, Tikhon Burtsev, Tatiana Bobrovskaya, Pavel Kosov, Anton Vladzymyrskyy, Olga Omelyanskaya, Kirill Arzamasov
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-12-01
coleção:	Diagnostics
Assuntos:	large language model summaries electronic health records LLM-as-a-judge
Acesso em linha:	https://www.mdpi.com/2075-4418/16/1/3
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