Best practices and challenges in executing large scale pilots for eHealth deployment and managing innovation: the GATEKEEPER experience [0.03%]
远程医疗部署和创新管理中的试点实施：良好实践与挑战——基于GATEKEEPER项目的经验
Davide Piaggio,Jordi de Batlle,Alba M Gallego Montejo et al.
Davide Piaggio et al.
The large-scale deployment of digital health solutions requires robust operational frameworks capable of coordinating heterogeneous settings, diverse stakeholders, and complex technical infrastructures. However, actionable guidance for exec...
Beyond the digital divide: multi-group SEM examination of socioeconomic status, mHealth utilization, and urban-rural physical activity disparities in Indonesia [0.03%]
超越数字鸿沟：印尼多组SEM考察社会经济地位、mHealth利用与城乡体力活动差异
Eli Sumarliah,Kawther Mousa,Yogi Iskandar
Eli Sumarliah
Background: Mobile health (mHealth) technological innovations are now widely being promoted as a scalable solution to the rising problem of obesity. Unfortunately, there is a dearth of empirical research on the extent to ...
Hongling Chen,Aibing Xu,Li Zhang et al.
Hongling Chen et al.
Introduction: High-precision liver and tumor segmentation is a cornerstone of digital oncology, yet its clinical deployment remains constrained by two persistent challenges: the scarcity of pixel-level annotations and sev...
Resources consumption and environmental impacts of the DYNAMIC digital health intervention aimed at improving quality of care for sick children in Tanzania: a life cycle assessment [0.03%]
针对改善坦桑尼亚病儿护理质量的DYNAMIC数字卫生干预措施的资源消耗和环境影响：生命周期评估
Maxime Karlen,Nina Emery,Rainer Tan et al.
Maxime Karlen et al.
Background: Health systems contribute to an important part of planetary boundaries overshoot, the effect of its rapid digitalization being however not well known. DYNAMIC is a Tanzanian digital health project, aimed at im...
Blinded two-phase evaluation of large language models in complex cardiac surgery: task-specific performance and human-AI collaboration [0.03%]
大规模语言模型在复杂心脏手术中双盲两阶段评估：任务特定性能和人机协作
Marc Leon,Ruibin Feng,Manuel Quiroz Flores et al.
Marc Leon et al.
Background: Large language models (LLMs) have demonstrated strong performance on standardized medical benchmarks. However, their potential in complex surgical decision-making is largely uncharacterized. Critically, human-...
Bridging the data-power paradox: a conceptual-empirical analysis of solar-powered digital health systems in low-resource settings [0.03%]
化解数据权力悖论：低资源环境下太阳能数字健康系统的理论与实证分析
Md Shafiqur Rahman Jabin,Ronald Danny Nyatuka
Md Shafiqur Rahman Jabin
Background: Digital health technologies are increasingly promoted as key enablers of health system strengthening in low-resource settings. However, their effectiveness is often constrained by inadequate infrastructure, pa...
A qualitative, multi-framework methodology for analysing health information technology-related patient safety incidents [0.03%]
一种定性、多框架的分析与患者安全事件相关的卫生信息技术的方法学
Md Shafiqur Rahman Jabin
Md Shafiqur Rahman Jabin
Background: The increasing reliance on health information technology (HIT) has introduced new and often unforeseen risks to patient safety in complex healthcare systems. Many HIT-related safety problems emerge only after ...
Practical applications of gamification in patient-centered outcomes research and digital health, and its acceptance in clinical trials [0.03%]
游戏化在以患者为中心的结果研究和数字健康领域的实际应用及其在临床试验中的接受度
Christopher Hartford,Roland Barge,Tenage McDowell et al.
Christopher Hartford et al.
Background: The application of game elements to engage participants and improve data collection for clinical trials is relatively novel, with limited research around the impact of gamification in clinical research. This a...
DFU-GCNet: a global context-enhanced inception network for robust and interpretable diabetic foot ulcer classification [0.03%]
基于全局上下文增强的DFU-GCInception网络及其可解释糖尿病足溃疡分类方法
Md Tofael Ahmed Bhuiyan,Md Abdur Rahman,Farzan Majeed Noori et al.
Md Tofael Ahmed Bhuiyan et al.
Introduction: Diabetic foot ulcers (DFUs) are severe complications that cause frequent lower extremity amputations. Timely diagnosis is crucial for effective clinical management. Although deep learning approaches improve ...
Listening to MS: AI-assisted speech analysis for diagnosis and fatigue prediction (COMMITMENT) [0.03%]
听觉辨识系统（COMMITMENT）：基于人工智能的语音分析辅助诊断和疲劳预测
Helly Hammer,Monica Gonzalez-Machorro,Pascal Hecker et al.
Helly Hammer et al.
Background: Identification of fatigue in people with Multiple Sclerosis (pwMS) is still mainly based on subjective assessments due to the lack of objective diagnostic tools. We aimed to identify vocal biomarkers to differ...