OncoReason: Structuring Clinical Reasoning in LLMs for Robust and Interpretable Survival Prediction 事件

OncoReason: Structuring Clinical Reasoning in LLMs for Robust and Interpretable Survival Prediction arXiv:2510.17532v2 Announce Type: replace Abstract: Predicting cancer treatment outcomes requires models that are both accurate and interpretable, particularly in the presence of heterogeneous clinical data. While large language models (LLMs) have shown strong performance in biomedical NLP, they often lack structured reasoning capabilities critical for high-stakes decision support. We present a u