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  • Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages
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Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages

Fuente: arXiv
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Bibliographic Details
Main Authors: Spaanderman, Douwe J., Prathaban, Karthik, Zelina, Petr, Mouheb, Kaouther, Hejtmánek, Lukáš, Marzetti, Matthew, Schurink, Antonius W., Chan, Damian, Niemantsverdriet, Ruben, Hartmann, Frederik, Qian, Zhen, Thomeer, Maarten G. J., Holub, Petr, Akram, Farhan, Wolters, Frank J., Vernooij, Meike W., Verhoef, Cornelis, Bron, Esther E., Nováček, Vít, Grünhagen, Dirk J., Niessen, Wiro J., Starmans, Martijn P. A., Klein, Stefan
Format: Preprint
Published: 2025
Subjects:
Computation and Language
Artificial Intelligence
Online Access:
Acceder al recurso
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Internet

https://arxiv.org/abs/2511.10658

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