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

Abstract Purpose 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. Methods Sixty-f...

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Hauptverfasser:	Melissa Harbrücker, Franka Menge, Arshia Taebi, Dominik Nörenberg, Tobias Speer, Christoph Reißfelder, Peter Hohenberger, Jens Jakob, Chengpeng Li, Cui Yang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2026-05-01
Schriftenreihe:	Journal of Cancer Research and Clinical Oncology
Schlagworte:	Gastrointestinal stromal tumor Large language model Artificial intelligence Multidisciplinary Decision-making Human-in-the-loop
Online-Zugang:	https://doi.org/10.1007/s00432-026-06489-7
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