The imitation game: large language models versus multidisciplinary tumor boards: benchmarking AI against 21 sarcoma centers from the ring trial
The study aims to compare the treatment recommendations generated by four leading large language models (LLMs) with those from 21 sarcoma centers’ multidisciplinary tumor boards (MTBs) of the sarcoma ring trial in managing complex soft tissue sarcoma (STS) cases.
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
10 September 2025
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| In: |
Journal of cancer research and clinical oncology
Year: 2025, Jahrgang: 151, Heft: 9, Pages: 1-15 |
| ISSN: | 1432-1335 |
| DOI: | 10.1007/s00432-025-06304-9 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00432-025-06304-9 Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00432-025-06304-9 
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| Verfasserangaben: | Cheng-Peng Li, Aimé Terence Kalisa, Siyer Roohani, Kamal Hummedah, Franka Menge, Christoph Reißfelder, Markus Albertsmeier, Bernd Kasper, Jens Jakob, Cui Yang |
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