Theory-informed design and dissemination of multilingual menopause CoMICs: the Menopause MEET initiative [0.03%]
基于理论的绝经多语种CoMICs的设计、传播：Menopause MEET倡议
Eleni Armeni,Ugljesa Barac,Esha Kaur et al.
Eleni Armeni et al.
Objective: To characterise patterns of dissemination, including reach, interaction, and sustained engagement over time, and compare how these patterns vary across different social media platforms and linguistic contexts. ...
Real-world evaluation of an ambient AI scribe in Spanish outpatient care after 2.3 million uses: impact on clinician experience, semantic agreement, and workflow efficiency [0.03%]
真实世界评估：一种ambient AI记录员在西班牙门诊护理中的应用（使用230万次后的效果）——对临床医生体验、语义一致性和工作流程效率的影响
Jose María Alcázar-Peral,Juan Antonio Álvaro-de la Parra,Daniel Blanco et al.
Jose María Alcázar-Peral et al.
Introduction: Ambient artificial intelligence (AI) documentation systems have emerged as a promising strategy to reduce electronic health record burden and support patient-centered, value-based healthcare (VBHC). Early st...
A cross-over feasibility trial of smartphone grayscale mode in medical students [0.03%]
有关医学生使用智能手机灰度模式可行性的交叉试验
James Hagerty,Shrey Saretha,Brenton Phung et al.
James Hagerty et al.
Background: Smartphones are central to digital health environments, yet their color-rich interfaces may increase visual salience and habitual engagement. Grayscale mode removes color saturation, potentially reducing atten...
Machine learning for chemotherapy decision-making in breast cancer using large language model [0.03%]
基于大型语言模型的乳腺癌化疗决策的机器学习方法
Md Serajun Nabi,Dema Yuden,Thinley Yeshey Choden et al.
Md Serajun Nabi et al.
Introduction: Breast cancer chemotherapy decision-making remains challenging due to biological heterogeneity and variability in clinical practice. This study proposes a hybrid framework integrating machine learning (ML), ...
Designing and conducting interventional trials with passive-sensing applications on patient-owned smartphones: challenges and recommendations from the BD4QoL study [0.03%]
基于患者自有智能手机的被动感知在干预试验中的设计与应用：来自BD4QoL研究的挑战和建议
Francesco Giuliani,Laura Lopez-Perez,Franco Mercalli et al.
Francesco Giuliani et al.
Digital health technologies offer novel avenues to support cancer survivorship, but their evaluation in clinical trials poses specific methodological and technological challenges. This policy brief paper reports key lessons stemming from th...
Association between wrist-worn actigraphy and the MDS-UPDRS Parkinson's disease rating scale through machine learning: an exploratory study [0.03%]
基于机器学习的手腕佩戴活动记录仪与MDS-UPDRS帕金森病评分量表的相关性：一项探索性研究
Gent Ymeri,Sara Caramaschi,Alban Haton et al.
Gent Ymeri et al.
Introduction: Parkinson's disease (PD) is typically assessed during short clinical visits using rating scales such as the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS). These assessments p...
Geriatric syndromes extraction from discharge summaries: a new dataset, annotation scheme and initial findings [0.03%]
出院总结中老年综合征的提取：新的数据集、标注方案及初步发现
Imane Guellil,Salomé Andres,Atul Anand et al.
Imane Guellil et al.
Introduction: Geriatric syndromes (GS), such as falls, dementia, delirium and malnutrition, are complex clinical conditions affecting older adults which involve multiple organ systems and have major impact on quality of l...
Association between clinical characteristics within 6 h of ICU admission and 30-day mortality risk in immunocompromised sepsis patients: development and validation of a machine learning model based on the MIMIC-IV database [0.03%]
基于MIMIC-IV数据库的免疫抑制患者重症早期临床特征与30天死亡风险相关性研究及机器学习模型构建和验证
Zhipeng Cheng,Xiuqing Ma,Weiying Duan et al.
Zhipeng Cheng et al.
Objective: To develop and validate a machine learning model for predicting 30-day mortality in immunocompromised sepsis patients using clinical data within 6 h of ICU admission. ...
Digital technologies for non-invasive stress detection, monitoring, and mitigation in children and adolescents: a scoping review [0.03%]
儿童和青少年非侵入式压力检测、监测和缓解的数字技术：综述研究
Arshad Nasser,Malak Baslyman,Sami Elferik
Arshad Nasser
Background: Stress in childhood and adolescence can disrupt emotional, cognitive, and physiological development and contribute to long-term health consequences. Conventional assessments, such as cortisol sampling and retr...
The impact of social influence and perceived value on usage intention of county-level "Internet + Medical Health" services: a moderating analysis of region [0.03%]
社交影响和感知价值对县级“互联网+医疗健康”服务使用意愿的影响研究：区域的调节作用分析
Lei Zhao,Lai Wei,Qingsong Zhang et al.
Lei Zhao et al.
Objective: This study aims to explore the association of social influence and perceived value with usage intention of "Internet + Medical Health" services, and examine the model changes with region as a moderating variabl...