Evaluating reasoning models for therapy recommendations in gastrointestinal stromal tumors: expert and LLM-based evaluations of OpenAI o1 and DeepSeek-R1

This study aims to evaluate two advanced reasoning LLMs in generating treatment recommendations for real-world gastrointestinal stromal tumor (GIST) cases and assess their concordance with multidisciplinary team (MDT) decisions at a certified tertiary sarcoma center.

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Detalles Bibliográficos
Autores principales: Harbrücker, Melissa (Autor) , Menge, Franka (Autor) , Taebi, Arshia (Autor) , Nörenberg, Dominik (Autor) , Speer, Tobias (Autor) , Reißfelder, Christoph (Autor) , Hohenberger, Peter (Autor) , Jakob, Jens (Autor) , Li, Chengpeng (Autor) , Yang, Cui (Autor)
Formato: Article (Journal)
Lenguaje:inglés
Publicado: 18 May 2026
In: Journal of cancer research and clinical oncology
Year: 2026, Volumen: 152, Número: 7, Pages: 1-10
ISSN:1432-1335
DOI:10.1007/s00432-026-06489-7
Acceso en línea:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00432-026-06489-7
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00432-026-06489-7
Enlace del recurso
Notas de Autor:Melissa Harbrücker, Franka Menge, Arshia Taebi, Dominik Nörenberg, Tobias Speer, Christoph Reißfelder, Peter Hohenberger, Jens Jakob, Chengpeng Li, Cui Yang

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