Using GPT-4 to annotate the severity of all phenotypic abnormalities within the human phenotype ontology [0.03%]
利用GPT-4标注人类表型本体中所有表型异常的严重程度
Kitty B Murphy,Brian M Schilder,Nathan G Skene
Kitty B Murphy
Introduction: The Human Phenotype Ontology (HPO) provides a unified framework cataloguing over 17,500 phenotypic abnormalities across more than 8,600 rare diseases, defining hierarchical relationships between them. For ex...
A mobile intervention to reduce pain and improve health-III: protocol for a remotely delivered randomized controlled trial of physical activity for pain management in older adults with obesity and knee or hip osteoarthritis [0.03%]
一种减少疼痛和提高健康的移动干预措施-Ⅲ：在老年人中进行远程传递的随机对照试验的方案，研究身体活动对肥胖且患有膝关节或髋关节骨关节炎患者的镇痛作用
Jason Fanning,Deja O Dobson,Sherri A Ford et al.
Jason Fanning et al.
As many as three in four older adults live with chronic pain, and osteoarthritis is a leading cause of chronic pain in older adults. Knee and hip osteoarthritis being the most common forms of the condition. Osteoarthritis symptoms are worse...
A pilot study of human-AI conversational interaction and its impact on loneliness and wellbeing [0.03%]
人与人工智能对话对孤独和幸福感影响的试点研究
Elżbieta Trylińska-Tekielska,Maciej Fijałkowski,Agnieszka Kolek et al.
Elżbieta Trylińska-Tekielska et al.
Introduction: With the growing accessibility of advanced artificial intelligence (AI) chatbots, there is a need to understand their impact on users' psychological wellbeing. This pilot study aimed to explore the subjectiv...
Human-supervised, large language model-based clinical decision support aligned to national newborn protocols in Kenya: a pragmatic, early-stage evaluation [0.03%]
一种基于人类监督和大型语言模型的临床决策支持系统在肯尼亚新生儿国家规范下的实用性早期评估
Teresiah Kuria,Gideon Kamau,Felisters Makokha et al.
Teresiah Kuria et al.
Introduction: Timely, protocol-adherent clinical decisions are crucial for reducing neonatal mortality in low-resource settings. Translating extensive national guidelines into bedside practice remains challenging. ...
Understanding the value of virtual care technologies: development of a framework in the veterans health administration [0.03%]
退伍军人健康管理局虚拟护理技术价值框架的制定与发展
Timothy P Hogan,Bella Etingen,Nicholas McMahon et al.
Timothy P Hogan et al.
Introduction: Healthcare systems, including the Veterans Health Administration (VHA), are facing tremendous growth in virtual care technologies that are intended to foster connections between patients, informal caregivers...
Unburdening healthcare systems through telenursing in chronic respiratory disease management: a systematic review [0.03%]
慢性呼吸道疾病管理中通过远程护理减轻医疗保健系统的负担：系统回顾研究
Alessandro Vatrella,Angelo Antonio Maglio,Maria Pia Di Palo et al.
Alessandro Vatrella et al.
Background/objectives: Chronic respiratory diseases represent a major cause of morbidity/mortality and healthcare expenditure due to disease exacerbations, emergency department (ED) presentations, hospitalizations, and le...
Artificial intelligence based predictive models for early sepsis detection in intensive care units: a scoping review [0.03%]
基于人工智能的预测模型在重症监护病房中用于早期败血症检测：系统综述
Mariana González Garcés,Juanita Valencia García,Camilo Jiménez Triana et al.
Mariana González Garcés et al.
Background: Early detection of sepsis in intensive care units remains a major clinical challenge. Artificial intelligence based predictive models have emerged as promising tools to support early identification of sepsis, ...
Why digital health fails silently: a sociotechnical theory of health information technology-related risk [0.03%]
数字医疗为何悄然失败：健康信息科技相关风险的社会技术理论
Md Shafiqur Rahman Jabin
Md Shafiqur Rahman Jabin
Introduction: Health information technology (HIT) is now integral to healthcare delivery, supporting clinical documentation, prescribing, diagnostics, and care coordination. Although these technologies offer substantial b...
Artificial intelligence and ChatGPT literacy among surgical healthcare professionals: knowledge, attitudes, and perceived clinical utility [0.03%]
外科医务人员的人工智能和ChatGPT素养：知识、态度及临床实用性的感知
Yasmin Safi,Saleh Abualhaj,Lina Alshadfan et al.
Yasmin Safi et al.
Background: Artificial intelligence (AI) and large language models such as ChatGPT are increasingly applied in surgical education and practice. Successful integration requires healthcare professionals to have adequate lit...
How to culturally adapt mental mHealth apps: lessons from an Australian Arabic-speaking community survey [0.03%]
面向澳大利亚阿拉伯语社区的调查：如何使精神健康移动医疗软件适应当地文化
Noorah Ibrahim S Alnaghaimshi,Michael Proeve,Scott R Clark et al.
Noorah Ibrahim S Alnaghaimshi et al.
Background: Culturally and religiously responsive mental mobile health (mHealth) apps may improve access to and acceptability of mental health support among migrant communities; however, evidence to inform their design re...