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.
Guardado en:
| Autores principales: | , , , , , , , , , |
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| Formato: | Article (Journal) |
| Lenguaje: | inglés |
| Publicado: |
18 May 2026
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| 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 |
| 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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