SpiroLLM: Finetuning pretrained LLMs to understand spirogram time series with clinical validation in COPD reporting [0.03%]
基于预训练的大语言模型的SpiroLLM及其在COPD报告中的临床验证
Shuhao Mei,Yongchao Long,Xiaoyu Xiao et al.
Shuhao Mei et al.
Chronic Obstructive Pulmonary Disease (COPD), a major chronic respiratory disease with persistent airflow limitation, is a leading global cause of disability and mortality. Respiratory spirogram time series, routinely collected during pulmo...
Improvements in blood and fitness tracker biomarkers in a longitudinal real-world cohort of digital health platform users [0.03%]
数字健康平台用户纵向现实队列中血液和健身跟踪生物标志物的改善
Nimisha Schneider,Paul Fabian,Michelle Cawley et al.
Nimisha Schneider et al.
Digital health technologies offer new opportunities for personalized health management and disease prevention. In this retrospective, long-term longitudinal study of over 20,000 users of a digital health platform (DHP), we aimed to determin...
Performance of predictive AI-based clinical decision support systems across clinical domains: A systematic review and meta-analysis [0.03%]
基于预测的AI临床决策支持系统在各个临床领域中的表现：系统评价和荟萃分析
William J Waldock,Ahmad Guni,Ara Darzi et al.
William J Waldock et al.
Despite advances in deep learning and transformer architectures, prior reviews have focused narrowly on traditional clinical decision support systems (CDSS) or single medical domains, leaving significant gaps in understanding contemporary A...
A problem of Epic proportion [0.03%]
史诗级的问题
Rawan Abulibdeh,Matthew G Crowson,Molly J Douglas et al.
Rawan Abulibdeh et al.
In the United States today, one private company holds the digital keys to the nation's health. Epic Systems provides the electronic health record for 42.3% of acute care hospitals and controls over half (54.9%) of all acute care hospital be...
Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypes [0.03%]
基于可解释机器学习的疾病轨迹聚类分析：术后谵妄表型研究案例
Xiaochen Zheng,Ahmed Allam,Manuel Schürch et al.
Xiaochen Zheng et al.
The identification of phenotypes within complex diseases is a fundamental component of personalized medicine, which aims to adapt healthcare to individual patient characteristics. Postoperative delirium (POD) is a complex neuropsychiatric c...
Characterizing patients who benefit from mature medical AI models in real-world clinical applications [0.03%]
获益于医疗AI模型成熟的现实世界临床应用患者的特征分析
Zhiyi Chen,Wei Li,Zhicheng Lin
Zhiyi Chen
Medical artificial intelligence (AI) is being rapidly deployed in clinical practice, yet its real-world effectiveness across diverse patient populations remains poorly characterized. We conducted a systematic review combining automated scre...
What should be included in a digital mental health intervention, based on solution-focused therapy, for young people who self-harm? A qualitative exploration of young people and clinicians' views [0.03%]
基于以解决为导向的治疗的数字心理健康干预应包含哪些内容？针对自我伤害的年轻人的定性探索及其临床医生的观点
Lauren Jerome,Katherine Adams,Victoria Bird et al.
Lauren Jerome et al.
Digital mental health interventions (DMHIs) are an important resource for individuals who find it difficult to access in-person services, such as young people who self-harm. Most DMHIs currently are based on Cognitive-Behavioural Therapy. S...
Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals [0.03%]
电子健康记录对巴勒斯坦医院护理工作效率的影响及影响因素预测
Fuad Farajalla,Mousa Farajallah,Nesreen Alqaissi et al.
Fuad Farajalla et al.
Electronic Health Records (EHRs) have revolutionized patient care and data management, but their integration may disrupt workflow. Palestine recently introduced EHRs in their hospitals, yet no local data exist on nursing workflow. This stud...
Visual recognition limitations in multimodal large language models: A comparative analysis of histological image interpretation [0.03%]
多模态大型语言模型的视觉识别限制：对组织学图像解释的比较分析
Volodymyr Mavrych,Einas M Yousef,Ahmed Yaqinuddin et al.
Volodymyr Mavrych et al.
Multimodal large language models (LLMs) with image recognition capabilities have emerged as potential tools for medical image analysis, yet their performance in specialized domains like histology remains largely unexplored. The objective of...
Participatory-informed preference optimization (PiPrO): A reinforcement learning simulation study [0.03%]
一种基于参与和信息的偏好优化（PiPrO）：增强学习模拟研究
Tara Templin,Shuyi Song,Sophia Fort et al.
Tara Templin et al.
Artificial intelligence (AI) has transformative potential in public health, but its impact is limited by models that implicitly prioritize a single stakeholder perspective and do not make explicit and tunable trade-offs between community an...