当临床信息不完整时，大模型可能“迷之自信”，这项研究揭示风险并敲响医疗AI安全警钟。
arXiv:2608.09080v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved strong performance in medical question answering and clin…
临床决策任务中，提示工程并非万能，三大模型实测效果颠覆直觉，调提示词前先看数据。
arXiv:2512.22966v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated promise in medical knowledge assessments, yet their…
临床医生反馈竟能同时提升AI建议的准确性与危害性，这项研究揭开人机协作的隐秘风险。
arXiv:2603.14158v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are entering clinical workflows, yet evaluations rarely assess …
罕见病例诊断难，MedUPS用大模型评估临床决策全过程，不止看最终诊断，更贴近真实医疗挑战。
arXiv:2608.01012v1 Announce Type: cross Abstract: Uncommon and off-guideline cases are difficult for clinical decision support, because physicians mus…
多模态大模型结合引导接地技术，为心脏诊断提供可解释性，前沿研究入选CITA 2026。
arXiv:2607.20814v1 Announce Type: new Abstract: The electrocardiogram (ECG) is a cornerstone of cardiac as- sessment, yet clinical deployment of deep …
疗法会话中LLM不参与临床决策，而是由含禁忌症的状态机驱动证据微实践，确保安全与深度。
Article URL: https://www.hamo.ai/blog/taking-the-clinical-decision-out-of-the-llm/ Comments URL: https://news.ycombinator.com/item?id=48916167 Points:…
图数据库驱动的健康AI系统，在多学科肿瘤诊疗中落地，架构清晰值得借鉴。
arXiv:2606.22692v1 Announce Type: new Abstract: We introduce VISTA Architect, a database-oriented AI architecture for integrating large language model…
LLM驱动医学启发学习框架，生成可解释、可审计的临床决策规则，让AI医疗更可信。
arXiv:2606.16337v1 Announce Type: new Abstract: Predictive modeling for clinical tabular data is central to clinical decision support and therefore re…
LLM无需预定义指南即可自动核查卒中护理流程，提升医疗合规与效率
arXiv:2606.09489v1 Announce Type: new Abstract: Objective: Conformance checking in healthcare seeks to assess whether patient care pathways adhere to …
多智能体协同推理，为斜视临床决策提供可解释的循证方案。
arXiv:2606.09249v1 Announce Type: new Abstract: Strabismus is a common ocular disorder that requires fine-grained subtype diagnosis for individualized…
首次量化不同评分协议下LLM作为AI评分者在复杂临床决策中的歧视行为，揭示评估条件对偏见的影响
arXiv:2606.03198v1 Announce Type: cross Abstract: Clinical AI evaluation increasingly delegates scoring to large language models (LLMs) acting as AI r…
基于电子健康记录，自动化评估大模型临床决策能力的全新基准，KDD 2026 收录。
arXiv:2605.30637v1 Announce Type: new Abstract: Clinical decision-making (CDM) is central to real-world clinical workflows, where clinicians infer dia…
新方法Vital Trace利用协议约束进行病人状态推理，提升纵向临床轨迹预测的准确性，值得医疗AI研究者关注。
arXiv:2602.12833v2 Announce Type: replace-cross Abstract: Longitudinal clinical reasoning over electronic health records requires tracking evolving ph…
完全开源且可审计的临床大模型流水线，解决AI医疗黑箱问题，数据来源与训练过程全透明。
arXiv:2605.16215v1 Announce Type: new Abstract: Clinical decision support systems (CDSS) require scrutable, auditable pipelines that enable rigorous, …