Supporting parents with acutely ill children: Environment scan and user evaluation of mobile applications (the SuPa kids project) [0.03%]
支持重病儿童的父母：移动应用程序的环境扫描和用户评价（SuPa儿童项目）
Amy Leigh Rathbone,Sarah Neill,Samantha Prime et al.
Amy Leigh Rathbone et al.
Background: Children are one of the biggest users of emergency departments in the UK, sometimes utilising services when experiencing acute illnesses that can be managed at home. mHealth can be an efficacious way for paren...
Tracking COPD exacerbation patterns and forecasting readmission risks utilizing electronic medical records [0.03%]
基于电子病历的慢阻肺急性加重模式追踪及再入院风险预测研究
Jiachen Li,Lirong Liang,Yutong Samuel Cai et al.
Jiachen Li et al.
Introduction: Accurate evaluation of exacerbation frequency is an essential part of COPD assessment. But relying on just the prior-year exacerbation history may not capture the full picture of risk given the inherent year...
Hineptch Daungsupawong,Viroj Wiwanitkit
Hineptch Daungsupawong
Development of a cancer risk model and mobile health application to inform the public about cancer risks and risk factors [0.03%]
开发癌症风险模型和移动健康应用程序，告知公众癌症风险及危险因素
Philippe Westerlinck,Philippe Coucke,Adelin Albert
Philippe Westerlinck
Objective: To develop and evaluate a mobile health application, the Cancer Risk Calculator (CRC), aimed at improving public health literacy by providing personalized information on cancer risks and preventive measures. ...
Using clinical text to refine unspecific condition codes in Dutch general practitioner EHR data [0.03%]
利用临床文本精炼荷兰全科医生电子健康记录中的非特定疾病代码
Tom M Seinen,Jan A Kors,Erik M van Mulligen et al.
Tom M Seinen et al.
Objective: Observational studies using electronic health record (EHR) databases often face challenges due to unspecific clinical codes that can obscure detailed medical information, hindering precise data analysis. In thi...
Renal health: Evaluation of the spontaneous use of a new m-health technology and validation of its content to support patients undergoing peritoneal dialysis [0.03%]
肾脏健康：评估新型移动医疗技术的自发使用及其内容的有效性以支持腹膜透析患者
Analayde L Azevêdo,Ana Carolina R M D M Albuquerque,Lia S Adriano et al.
Analayde L Azevêdo et al.
Introduction: Chronic kidney disease is a worldwide public health problem, with a high prevalence of patients on dialysis. mHealth technologies can greatly support the treatment and monitoring of these patients. Thus, thi...
Perception of middle-aged and older adults towards mHealth apps: A comparative factor analysis between Australia and Germany [0.03%]
澳大利亚与德国中老年人对移动健康应用程序认知的比较因素分析
Tanja Schroeder,Abbish Kamalakkannan,Karla Seaman et al.
Tanja Schroeder et al.
Objective: Although evidence of the global effectiveness and usability of mobile health (mHealth) apps as non-drug interventions is growing, older adults often demonstrate low adoption rates of these apps. This study aims...
Automating biomedical literature review for rapid drug discovery: Leveraging GPT-4 to expedite pandemic response [0.03%]
自动化生物医学文献回顾以实现快速药物发现：利用GPT-4加速疫情应对反应
Jingmei Yang,Kenji C Walker,Ayse A Bekar-Cesaretli et al.
Jingmei Yang et al.
Objective: The rapid expansion of the biomedical literature challenges traditional review methods, especially during outbreaks of emerging infectious diseases when quick action is critical. Our study aims to explore the p...
Evaluation of completely online psychotherapy with app-support versus therapy as usual for clients with depression or anxiety disorder: A retrospective matched cohort study investigating the effectiveness, efficiency, client satisfaction, and costs [0.03%]
应用支持的完全在线心理治疗与常规治疗的回顾性匹配队列研究：评估抑郁症或焦虑症患者的有效性、效率、客户满意度和成本
Romy Fleur Willemsen,Anke Versluis,Jiska Joëlle Aardoom et al.
Romy Fleur Willemsen et al.
Introduction: Depressive and anxiety disorders are common mental disorders ranking among the leading causes of global disease burden. Not all clients currently benefit from therapy and clients are looking for modern ways ...
Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models' feasibility in clinical decision-making [0.03%]
结合人类专业知识与自动化方法，对大型语言模型在临床决策中的可行性进行动态多参数评估集成
Elena Sblendorio,Vincenzo Dentamaro,Alessio Lo Cascio et al.
Elena Sblendorio et al.
Background: Recent enhancements in Large Language Models (LLMs) such as ChatGPT have exponentially increased user adoption. These models are accessible on mobile devices and support multimodal interactions, including conv...