English(EN) PatientWM: Towards Generalizable Clinical World Models via Unified Patient States

PatientWM框架通过统一患者状态推进临床世界模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了PatientWM，一个新颖的临床世界模型框架，旨在提高患者状态预测的可泛化性和可重用性。与以往常常将患者状态与特定模态或任务绑定的模型不同，PatientWM采用统一的患者状态和序列潜在历史。这种方法允许整合可用观测，并通过将预测条件化于先前的状态和动作来保留最近的治疗和反应背景。在包括MIMIC-III和MIMIC-IV在内的多个临床数据集上的实验表明，PatientWM在临床预测、预报和动作规划评估中表现优越，突显了其可泛化性。 AI

影响通过提供更具可泛化性的患者状态预测，增强了临床环境中的预报和规划能力。

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Ziwen Kan, Jie Peng, Bo Yan, Davis Hobley, Zheng Zhang, Yu Tian, Tianlong Chen, Song Wang · 2026-10-15 04:00

PatientWM：通过统一的患者状态迈向可泛化的临床世界模型

arXiv:2610.17059v1 Announce Type: new Abstract: Clinical decisions depend on anticipating how a patient's condition will evolve as treatment is adjusted and new evidence becomes available. Existing medical world models capture patient-state evolution, but often define the evolvin…

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PatientWM：通过统一的患者状态迈向可泛化的临床世界模型

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