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.

Bibliographic Details

Main Authors:	Harbrücker, Melissa (Author) , Menge, Franka (Author) , Taebi, Arshia (Author) , Nörenberg, Dominik (Author) , Speer, Tobias (Author) , Reißfelder, Christoph (Author) , Hohenberger, Peter (Author) , Jakob, Jens (Author) , Li, Chengpeng (Author) , Yang, Cui (Author)
Format:	Article (Journal)
Language:	English
Published:	18 May 2026
In:	Journal of cancer research and clinical oncology Year: 2026, Volume: 152, Issue: 7, Pages: 1-10
ISSN:	1432-1335
DOI:	10.1007/s00432-026-06489-7
Online Access:	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
Author Notes:	Melissa Harbrücker, Franka Menge, Arshia Taebi, Dominik Nörenberg, Tobias Speer, Christoph Reißfelder, Peter Hohenberger, Jens Jakob, Chengpeng Li, Cui Yang