Midwives' and Public Health Nurses' Experiences of Implementing a Guided Version of a Digital Intervention, Mamma Mia, in Maternity and Child Health Care Services: A Reflexive Thematic Analysis [0.03%]
产科和儿童保健服务中助产士和公共卫生护士实施指导版数字干预程序Mamma Mia的经验：反射性主题分析
Ellen Solstad Olavesen,Sølvi Helseth,Silje Marie Haga et al.
Ellen Solstad Olavesen et al.
Guided digital interventions in maternity and child health care may improve mental health outcomes by increasing user engagement and adherence. However, implementing such complex interventions remains challenging due to factors related to i...
The implementation realities of a digital antenatal care improvement intervention: Insights from ethnographic work in primary health facilities in Nepal [0.03%]
数字孕产期护理改善干预措施的实际实施情况——尼泊尔初级卫生保健机构民族志研究的启示
Sulata Karki,Seema Das,Emma Radovich et al.
Sulata Karki et al.
Nepal has significantly improved maternal health service coverage, including antenatal care (ANC), with a growing focus on quality care. The mobile health Integrated Rural Antenatal care (mIRA) project evaluated an electronic decision suppo...
Use of generative AI for health among urban youth in Pakistan: A mixed-methods study [0.03%]
巴基斯坦城市青年的健康生成式人工智能应用：一种混合方法研究
Ahsan Mashhood,Aamna Ahmed,Inaya Khan et al.
Ahsan Mashhood et al.
Generative AI (GAI) tools are increasingly used informally for health, yet evidence from low- and middle-income countries (LMICs) is limited. This study generates early evidence on such health systems from the fifth most populous country: P...
Adopting and validating a technology acceptance model-based paradigm to assess acceptance and satisfaction with electronic health information system by healthcare providers in resource-limited governmental and non-governmental hospitals [0.03%]
基于资源限制的政府和非政府医院医护人员对电子健康信息系统接受度及满意度的技术接受模型评价体系的构建及验证
Ahmad Dweikat,Nidal Dwaikat,Ramzi Shawahna
Ahmad Dweikat
In resource-limited healthcare settings, adoption of electronic health information systems (EHIS) depends on provider acceptance and satisfaction. This study extended the Technology Acceptance Model (TAM) with Technology-Organization-Enviro...
Diffusion-synthesized Chest X-rays improve fairness and diagnostic performance [0.03%]
基于扩散模型合成的胸部X光数据可改善公平性和诊断性能
Dawood Rehman,Huan-Yu Chen,Chi-Chun Lee et al.
Dawood Rehman et al.
Deep learning models have been widely applied to chest X-ray (CXR) disease classification and diagnosis; however, challenges such as data scarcity and shortcut learning often lead to biased model behavior. This study addresses fairness-rela...
Technology-mediated screening interviews for youth mental health: Content validation, randomized controlled trial, and expert evaluation [0.03%]
面向青年精神健康的基于技术的筛选面试：内容验证、随机对照试验和专家评估
Izidor Mlakar,Valentino Šafran,Nejc Plohl et al.
Izidor Mlakar et al.
Early identification of mental health disorders in children and adolescents is essential for optimal outcomes, yet access to specialist psychiatric assessment remains limited by severe workforce shortages and geographic barriers. This study...
A pilot study of the online Acceptance and Commitment Therapy Guide for Immigrant Resilience: A culturally adapted intervention for undocumented community members [0.03%]
一项关于在线接受并承担疗法移民韧性指南的试点研究：一项针对无证社区成员的文化适应性干预措施的研究
José Manuel González Vera,Melanie M Domenech Rodríguez,Alejandro L Vázquez et al.
José Manuel González Vera et al.
Undocumented immigrants face chronic contextual stressors that undermine their mental health and limit their access to culturally adapted mental health interventions. This pilot implementation study evaluated the online Acceptance and Commi...
Large language models for thematic analysis in healthcare research: A blinded mixed-methods comparison with human analysts [0.03%]
大型语言模型在医疗保健研究中的主题分析：与人类分析师的盲法混合方法比较
Callum Hill,Arun Dahil,Glenn Simpson et al.
Callum Hill et al.
Large language models (LLMs) are increasingly used for qualitative thematic analysis, yet evidence on their performance in analysing focus-group data, where polyvocality and context complicate coding, remains limited. Given the increasing r...
A Bi-lingual chatbot implementation for pandemic response using the transformer-based approach [0.03%]
基于变换器方法的疫情响应双语聊天机器人实现
Mugume Twinamatsiko Atwine,Daudi Jjingo,Mike Nsubuga et al.
Mugume Twinamatsiko Atwine et al.
The COVID-19 pandemic highlighted the critical need for timely and accurate information in effectively managing pandemics. The proliferation of misinformation on public media platforms complicated the management of the pandemic, necessitati...
Reliability of a convolutional neural network in segmenting multiple sclerosis lesions from MRI: Impact of data augmentation, image modality and tolerance with U-Net architecture [0.03%]
基于卷积神经网络的多发性硬化病变MRI图像分割方法的有效性：数据增强、模态与容错对U-Net架构的影响分析
Adam C Szekely-Kohn,Marco Castellani,Luca Baronti et al.
Adam C Szekely-Kohn et al.
Multiple Sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system, typically exhibiting radiologically identifiable lesions within the brain and spinal cord, features key to both diagnosis and clinical disease m...