The effectiveness of teletherapy for developmental language disorder in India [0.03%]
印度发育性语言障碍的远程治疗效果
Irfana Thahani,Juniya Joby,Callum Nicholls et al.
Irfana Thahani et al.
Introduction: Developmental language disorder (DLD) is a condition that impairs language acquisition in children despite typical cognitive abilities and the absence of neurological, physical, or hearing impairments. Early...
Objective stratification of knee osteoarthritis stages using a semi-supervised learning approach on multimodal MRI-CT cartilage features [0.03%]
基于多模态MRI-CT影像的半监督学习膝骨关节炎分期客观化研究
Federica Kiyomi Ciliberti,Ida Maruotto,Halldor Jonsson Jr et al.
Federica Kiyomi Ciliberti et al.
Introduction: Knee osteoarthritis (KOA) is a chronic and progressive joint disease that affects middle-aged and older adults. Early detection is crucial to prevent progression toward joint replacement and improve long-ter...
Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement [0.03%]
利益相关者在医疗保健中使用人工智能的体验：满意度、信任、接受度和患者参与的文献计量学研究
XinKai Li,Chao Jing,ZhiFu Gong et al.
XinKai Li et al.
Background: The implementation of artificial intelligence (AI) in healthcare increasingly depends not only on algorithmic performance but also on how patients and healthcare professionals experience, trust, accept, and en...
Designing interfaces for digital physical ability self-assessment: a user-centered iterative approach [0.03%]
以用户为中心的迭代设计方法在数字身体素质自测界面中的应用研究
Agnieszka Jaff,Mia Folke,Annica Kristoffersson
Agnieszka Jaff
Background: Digital physical ability self-assessments offer an accessible alternative to resource-intensive objective assessments, but their outcomes depend on how well user interfaces (UIs) support correct exercise execu...
K-anonymity decay in multi-turn clinical large language model conversations [0.03%]
多轮临床大型语言模型对话中的K匿名衰减问题
James Weatherhead,Azra Hasan,Jake Weatherhead et al.
James Weatherhead et al.
Per-prompt de-identification, a commonly adopted practice for protecting patient privacy in clinical artificial intelligence (AI) conversations, may be insufficient to bound re-identification risk when the same patient is discussed across m...
Responsible data selection method for algorithmic personalization of health apps: a case study on promoting mental health [0.03%]
算法个性化健康应用的责任数据选择方法：促进精神健康的应用研究
Esra Cemre Su de Groot,Ujwal Gadiraju,Olya Kudina et al.
Esra Cemre Su de Groot et al.
Digital technologies are on the rise to promote health. To improve the engagement and effectiveness of these technologies, there is a growing interest in algorithmic personalization. However, the user input data for these algorithms (e.g., ...
Clinician and patient perspectives on digital technology platforms for healthcare delivery [0.03%]
医务人员和患者对医疗保健输送数字平台的看法
Lillian C Chen,Mahsa Yarmohammadi,Peter P Zandi et al.
Lillian C Chen et al.
This study examines clinician and patient experiences and concerns regarding the use of digital technology platforms, particularly artificial intelligence (AI) chatbots, for clinical care. We conducted focus groups with clinicians and patie...
Improved dietary intake and readiness among United States Navy Future Sailors following mobile health application use [0.03%]
移动健康应用程序在美国海军未来水手饮食摄入和准备方面的应用效果研究
Lynn A Cialdella-Kam,Michael S Stone,Trisha M Sterringer
Lynn A Cialdella-Kam
Introduction: Military recruitment and retention efforts are significantly challenging due to a limited pool of qualified candidates and increasing competition from private industries. Before attending Navy basic training...
The quality evaluation of information in hospice and palliative care short videos on Douyin (TikTok's Chinese version) and Bilibili: a cross-sectional study [0.03%]
抖音和哔哩哔哩末期关怀短视频的质量评估：横断面研究
CongBing Yan,Xiaoxia Zhu,Man Xu et al.
CongBing Yan et al.
Background: Due to the fast growth of short video services, more and more individuals use platforms like Douyin (the Chinese version of TikTok) and Bilibili to find out some health-related information concerning hospice a...
Life, death, and 280 characters: a hashtag analysis of #AssistedSuicide on X (2015-2025) [0.03%]
生命、死亡与280字限制：对#AssistedSuicide标签的分析（2015-2025）
Elisa Opriessnig,Olena Litvinova,Zilin Ma et al.
Elisa Opriessnig et al.
Background: Population aging and the growing prevalence of chronic diseases pose significant challenges to the global healthcare system and highlight the relevance of issues related to the end-of-life stages. Social media...