Utilization of AI Among Medical Students and Development of AI Education Platforms in Medical Institutions: Cross-Sectional Study [0.03%]
医学生的人工智能利用及其在医疗机构中的教育平台开发：横断面研究
Xiaokang Shi,Zewu Jiang,Li Xiong et al.
Xiaokang Shi et al.
Background: The emergence of artificial intelligence (AI) is driving digital transformation and reshaping medical education in China. Numerous medical schools and institutions are actively implementing AI tools for case-b...
Wearable Device Photoplethysmography As a Viable Tool to Longitudinally Monitor Vasoconstriction Biomarkers for Predicting Vaso-Occlusive Crisis in Sickle Cell Disease: Feasibility and Validation Study [0.03%]
基于可穿戴设备光体积描记法纵向监测血管收缩生物标志物以预测镰状细胞病血管闭塞危象的可行性和验证性研究
Payal Shah,Sabrina Sy,Mingjing Chen et al.
Payal Shah et al.
Background: Entrapment of sickled red blood cells in the microvasculature leads to sudden painful vaso-occlusive crises (VOCs) in sickle cell disease (SCD). This is potentially triggered by autonomic nervous system-mediat...
Hospital-at-Home for South Asian Communities in British Columbia, Canada: Qualitative Interview Study [0.03%]
加拿大不列颠哥伦比亚省南亚社区的家庭住院服务：定性采访研究
Emma Wong,Mahabhir Kandola,Kamal Arora et al.
Emma Wong et al.
Background: South Asian communities in Canada face significant disparities in access to health care and experience higher rates of chronic conditions such as cardiovascular disease, diabetes, and hypertension. Hospital-at...
User Preferences for an Image-Assisted Dietary Recall: Qualitative Study Comparing 3 Dietary Assessment Methods [0.03%]
一种基于图像的饮食回忆法用户偏好定性研究：比较三种膳食评估方法
Janelle D Healy,Christina M Pollard,Clare E Collins et al.
Janelle D Healy et al.
Background: Technology-assisted 24-hour dietary recall (24HR) methods offer the potential for scalable population dietary assessment, but current challenges include balancing accuracy and cost against participant burden a...
Using Crowdsourcing Internet of Things Technology to Reduce Caregiver Worry in Dementia-Related Lost Episodes: Longitudinal Observational Study [0.03%]
基于 crowdsourcing 的物联网技术在阿尔茨海默病走失事件中减少照料者担忧的纵向观察研究
Bel Wong,Tobi Cheng,Nicole Fung et al.
Bel Wong et al.
Background: Dementia increases the risk of individuals getting lost due to cognitive decline, impacting daily functioning and heightening caregiver worry. Traditional search methods are often time-consuming and stressful,...
Observational Study
JMIR human factors. 2025 Dec 30:12:e73670. DOI:10.2196/73670 2025
Experiences of Using Online Peer Forums Among People With Postpartum Psychosis: Interpretative Phenomenological Study [0.03%]
产后精神病患者的在线同伴论坛使用体验：解释性现象学研究
Katherine Williams,Fiona Lobban,Elizabeth Chamberlain
Katherine Williams
Background: Although research has found online peer support forums to be helpful for those with mental health conditions, no studies have explored the experiences of those who use forums for support with postpartum psycho...
Dynamic Indicators of Adherence and Retention in Adults Using a Digital Mental Health App: Longitudinal Observational Analysis From the Brighten Study [0.03%]
基于Brighten研究的成人心理健康应用动态依从性和留存率纵向观察分析
Dylan Hamitouche,Youcef Barkat,Deven Parekh et al.
Dylan Hamitouche et al.
Background: Making optimal use of mobile health technologies requires the validation of digital biomarkers, which in turn demands high levels of participant adherence and retention. However, current remote digital health ...
Observational Study
JMIR human factors. 2025 Dec 22:12:e69464. DOI:10.2196/69464 2025
Optimizing SloMo, a Digitally Supported Therapy Targeting Paranoia, for Implementation: Inclusive, Human-Centered Design Study [0.03%]
针对妄想的数字辅助治疗Optimizing SloMo的实施优化：包容性和以用户为中心的设计研究
Thomas Gant,Kathryn M Taylor,Thomas Ward et al.
Thomas Gant et al.
Background: Despite the promise of digital therapeutics in providing scalable interventions for psychosis, translating them from clinical trials to routine care is challenging. SloMo is an evidence-based, digitally suppor...
Bridging Policy and Practice in Telemedicine Follow-Up Identification: Multicenter Mixed Methods Study in Beijing [0.03%]
北京多中心混合方法研究：远程医疗随访识别的政策与实践桥梁
Yanli Lyu,Xi Li,Huixian Li et al.
Yanli Lyu et al.
Background: Telemedicine services have been developing rapidly worldwide. Following the 2018 policy enabling telemedicine for follow-up patients, this service model has gradually gained popularity in China. However, littl...
Multicenter Study
JMIR human factors. 2025 Dec 19:12:e75964. DOI:10.2196/75964 2025
Investigating How Clinicians Form Trust in an AI-Based Mental Health Model: Qualitative Case Study [0.03%]
临床医生如何在基于人工智能的精神健康模型中建立信任：定性案例研究
Anthony Kelly,Niharika Bhardwaj,Trine Theresa Holmberg Sainte-Marie et al.
Anthony Kelly et al.
Background: Trust in artificial intelligence (AI) remains a critical barrier to the adoption of AI in mental health care. This study explores the formation of trust in an AI mental health model and its human-computer inte...