Reference and Solution Architecture for GenAI- and GIS-Enhanced Physical Activity Interventions: Towards Implementing the AI4Motion Platform [0.03%]
基于GenAI和GIS增强的物理活动干预参考和解决方案架构：迈向实现AI4Motion平台
Michal Doležel,Radim Lískovec
Michal Doležel
Digital Behaviour Change Interventions (DBCIs) aim at improving individual health by engaging various means of Information and Communication Technology (ICT), including mobile apps and wearables. Participant intervention fatigue may happen ...
Describing the Performance and the Infrastructure Requirements of the Existing Artificial Intelligence (AI)-Based Diabetic Retinopathy (DR) Screening Algorithms for Diabetic Patients: an Umbrella Review [0.03%]
描述现有基于人工智能的眼底病变筛查算法的性能和基础设施需求的伞式综述：针对糖尿病患者的回顾性分析
Rachel Kabunga,Justus Asasira,Sheilah Njuki et al.
Rachel Kabunga et al.
AI-based diabetic retinopathy (DR) screening algorithms have been evaluated in many countries and have shown promise in expanding access to screening, especially in low- and middle-income countries (LMICs). However, the literature lacks gui...
Comment on 'AI Chatbots as Sources of STD Information: A Study on Reliability and Readability' [0.03%]
关于“AI聊天机器人作为性传播疾病信息来源的可靠性与易读性研究”的评论
Ismail Sivri,Furkan Mehmet Ozden,Tuncay Colak
Ismail Sivri
The Impact of Different Mobile Health Technologies on Physical Activity of COPD Patients: A Systematic Review and Network Meta-Analysis [0.03%]
不同移动健康技术对慢阻肺患者身体活动影响的系统评价和网络 meta 分析
Wenzhuo An,Shuting Ning,Jie Wang et al.
Wenzhuo An et al.
To compare and rank the effects of different mobile health (mHealth) technologies on the physical activity of patients with Chronic Obstructive Pulmonary Disease (COPD). Eight databases from January 2010 to March 2025 were searched. Two res...
Artificial Intelligence in Ambulatory Surgery: Current Applications, Challenges, and Future Directions [0.03%]
人工智能在门诊手术中的应用、挑战和未来方向
Lidi Liu,Peng Zhang,Yu Jia et al.
Lidi Liu et al.
Ambulatory surgery enhances resource utilization through reduced hospital stays and costs without compromising clinical outcomes. However, existing workflows are labor-intensive and repetitive, necessitating optimization in patient selectio...
Universal Atrial Fibrillation Screening Using Electrocardiographic Artificial Intelligence: A Cost-Effective Approach in Rural Communities [0.03%]
基于心电图的人工智能筛查房颤在农村社区中的应用及成本效益分析
Wei-Ting Liu,Chin-Sheng Lin,Chin Lin et al.
Wei-Ting Liu et al.
Atrial fibrillation (AF) significantly contributes to the incidence of strokes. Screening for AF enhances its detection and effective management. However, universal AF screening in rural areas poses a challenge. This study evaluates the cos...
K-operator for Modelling Neurodegeneration: Simulations, fMRI Application, Eigenvalue Analysis and Recurrence Plots [0.03%]
K-算子在神经退行性病变建模中的应用：模拟、fMRI 应用、特征值分析和递归图研究
Sofia Fazio,Patrizia Ribino,Francesca Gasparini et al.
Sofia Fazio et al.
The brain network damage provoked by a neurological disease can be modelled as the result of the action of an operator, K, acting on the brain, inspired by physics. Here, we explore the matrix formulation of K, analysing eigenvalues and eig...
Digital Twins for Monitoring Neuromotor Development in Preterm Infants: Conceptual Framework and Proof-of-concept Study [0.03%]
用于监测早产儿神经运动发育的数字孪生：概念框架和概念验证研究
Sara Montagna,Rita Stagni,Giada Pierucci et al.
Sara Montagna et al.
Preterm birth leads to an increased risk of long-term consequences, with over 50% of children born
Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges [0.03%]
癫痫研究中的自动化视频脑电图分析：进展与挑战的叙述性回顾
Valerii A Zuev,Elena G Salmagambetova,Stepan N Djakov et al.
Valerii A Zuev et al.
Video-electroencephalography (vEEG) monitoring is currently the reference standard in the diagnosis of epilepsy. Manual analysis of vEEG recordings is time-consuming and inter-rater agreement is low even when the annotation is done by exper...
Diagnosis and Triage Performance of Contemporary Large Language Models on Short Clinical Vignettes [0.03%]
当代大型语言模型在简短临床梗概中的诊断和分拣表现
Lei Xu,Wenzhe Zhao,Xin Huang
Lei Xu
General-purpose large language models (LLMs) are increasingly proposed for diagnostic and triage decision support, yet their reliability relative to humans remains unclear. We evaluated eight contemporary LLMs (ChatGPT-4, ChatGPT-o1, DeepSe...