精神病学专用模型对战通用聊天机器人，评测医疗问答的临床准确性，AI落地医疗的新探索。
arXiv:2608.22797v1 Announce Type: new Abstract: Background This study was designed to evaluate whether a domain-specific large language model (LLM) tr…
知识图谱仅对超出训练范围的医学知识有效提升LLM表现，揭秘结构化知识与模型能力的边界。
arXiv:2606.22419v1 Announce Type: new Abstract: A recent Nature Medicine study reports that general-purpose frontier LLMs outperform specialized retri…
面对长篇出院小结进行多轮查询时，Perplexity AI 能基于检索增强生成提供带来源的证据回答，助力医学专家高效合成病历信息。
arXiv:2606.15735v1 Announce Type: cross Abstract: Discharge summaries are crucial clinical documents containing the context of a patient's overall hos…
研究表明大模型在医疗场景中高度敏感于提示变化，可能从可靠变错误，警示临床部署风险
arXiv:2606.07237v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used in healthcare for tasks such as clinical question…