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Author

Anton Oseledchyk

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Review Open access Sep 2026

Performance of large language models in ambiguous treatment scenarios of early breast cancer

Background Consensus conferences guide treatment where evidence is ambiguous; lacking ground truth, artificial intelligence is unvalidated there. We evaluated concordance between large language models (LLMs) and expert votes at the 2025 St. Gallen International Breast Cancer Conference. Materials and methods Four LLMs...

Anton Oseledchyk, W. Weber, Benjamin Kasenda · 0 citations

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