搜索医学 AI 论文与资源

步态障碍是帕金森病（PD）中最常见且最具致残性的症状之一，其表现复杂且高度异质。在此，我们提出了一种基于深度学习的框架，利用智能手机录制的视频评估步态障碍。该框架在预测 PD 严重程度方面表现出色，微平均受试者工作特征曲线下面积（AUC）为 0.87，F1 分数为 0.806，与三位临床专家的平均表现相当。此外，它以 73.68%的精度有效区分了药物对步态障碍的整体疗效。特别是，它能够区分统一帕金森病评分量表（UPDRS）分辨率之外的药物诱导的细微粒度步态变化。此外，我们的可解释框架能够提取传统临床使用的运动指标，并发现对疾病进展和药物反应敏感的新数字生物标志物。 这些发现强调了其在临床和家庭环境中高效评估疾病进展的巨大潜力，以及在临床试验中评估疾病修饰效果的潜力，以促进个性化治疗。

系统综述与荟萃分析，评估临床医学中人类与大语言模型协作相对于人类单独工作流的表现，覆盖临床推理、文档和解释等任务；研究指出当前证据仍初步且具有情境依赖性，建议后续开展预注册、务实、多中心并嵌入真实工作流的临床研究。

This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-06-03. It invites research on real-world clinical performance of AI, including clinical utility, safety, reliability, equity, generalizability, workflow integration, post-deployment monitoring, transparency, patient-centered outcomes, and clinician-AI interaction.

This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2027-03-24. It seeks clinical AI studies centered on pre-specified actions, including pragmatic trials, cluster-randomized and stepped-wedge designs, generative AI in workflow, causal analyses, target trial emulation, post-market surveillance, drift monitoring, safety, economic evaluation, and lifecycle governance.

This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-05-06. It calls for physics-informed machine learning for personalized disease prediction, prevention, and management, including digital twins, physics-informed generative AI, biomedical time-series, signals, images, interpretability, and clinical decision support.

This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2027-04-30. It invites work at the intersection of computational drug repurposing, multimodal biomedical data, and AI, including omics, EHRs, real-world evidence, imaging, digital phenotyping, LLMs, graph neural networks, multimodal transformers, knowledge graphs, generative AI, causal inference, explainability, and clinical translation.

This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-07-21. It invites research on AI in sports medicine, including multimodal injury and medical-condition prediction, individualized diagnosis, treatment and rehabilitation, transparent and diverse datasets, open-source explainable AI, and safe AI systems for athlete and exercise health.

This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-06-01. It focuses on AI tools that support or deliver therapeutic interventions in mental health, including generative AI therapy bots, reinforcement-learning agents, human-in-the-loop models, clinical validity, safety, ethics, equity, and regulation.

This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-07-12. It calls for work on agentic AI in care delivery, including real-time evidence-based decision support, virtual and remote patient care, multimodal and longitudinal clinical data, EHRs, medical imaging, genomics, resource-limited deployment, ethics, regulation, quality, and patient safety.