ChatGPT's progress over time: A longitudinal enhancing biostatistical problem-solving in medical education [0.03%]
ChatGPT的长期进步：在医学教育中纵向增强生物统计问题解决能力的发展
Aleksandra Ignjatović,Marija Anđelković Apostolović,Lazar Stevanović et al.
Aleksandra Ignjatović et al.
Objective: ChatGPT has been recognised as a potentially transformative tool in higher education by enhancing the teaching and learning process. Cross-sectional evaluations have acknowledged this potential. This study evaluates ChatGPT's per...
Systematic review of barriers and facilitators to digital health technology interventions for chronic disease management in Ethiopia: Insights for implementing digital health in developing countries [0.03%]
埃塞俄比亚慢病管理数字化卫生技术干预措施实施的影响因素系统评价：发展中国家数字化卫生实施的启示
Jibril Bashir Adem,Anas Ali Alhur,Agmasie Damtew Walle et al.
Jibril Bashir Adem et al.
Introduction: Non-communicable diseases are a global health concern endangering public health as well as social and economic progress worldwide. Although Ethiopia's healthcare delivery system has seen tremendous advancements in the use of d...
Analyzing dengue outbreak patterns using integrated machine learning approaches: A study in Bangladesh [0.03%]
集成机器学习方法分析登革热疫情模式：基于孟加拉国的研究
Tanvir Ahammad,Apurbo Kormokar,Sabina Yasmin et al.
Tanvir Ahammad et al.
Dengue fever remains a persistent global health threat, particularly in Southeast Asia, the Pacific, and the Americas. This study aims to improve early detection and prediction of dengue outbreaks by addressing the challenges of data scarci...
The ontology framework and challenges of smart healthcare system transformation using natural language processing and latent Dirichlet allocation [0.03%]
基于潜在狄利克雷分配和自然语言处理的智慧医疗体系转型本体框架及挑战研究
Shuyan Zhao,Hua Zhong,Beibei Ge et al.
Shuyan Zhao et al.
Objectives: This article aims to develop the ontology framework of smart healthcare system and identify the challenges to construct the smart healthcare system. The ontology framework provides both academics and practitioners a reference to...
An innovative X-RAG technique combined with GPT-4o for summarizing medical information from EHR and EMR to assist doctors in clinical decision-making effectively and efficiently [0.03%]
一种结合GPT-4o的创新X-RAG技术，用于从电子健康记录和医疗记录中总结医学信息，以有效协助医生进行临床决策
Jhing-Fa Wang,Che-Chuan Chang,Te-Ming Chiang et al.
Jhing-Fa Wang et al.
Background: Large language models (LLM) still face challenges in accurately extracting and summarizing medical information from EHR and EMR. The variability in EHR and EMR formats across institutions further complicates information integrat...
Predicting functional outcomes after a stroke event by clinical text notes: A comparative study of traditional machine learning and deep learning methods [0.03%]
基于临床文本记录预测卒中事件的功能预后：传统机器学习和深度学习方法的比较研究
Yu-Hsiang Su,Chih-Fong Tsai
Yu-Hsiang Su
Objective: Accurately predicting functional outcomes after acute ischemic stroke is essential for healthcare institutions to optimize staffing and resource allocation. Although text mining has been applied to build such models, most prior s...
Evaluating large language models for mild cognitive impairment among older adults: A bilingual comparison of ChatGPT, Gemini, and Kimi [0.03%]
评估老年人轻度认知障碍的大型语言模型：ChatGPT、Gemini和Kimi的双语比较
Yexuan Xiao,Qianhui Pan,Haoyuan Liu et al.
Yexuan Xiao et al.
Objective: To evaluate large language models (LLMs) in managing mild cognitive impairment (MCI) and supporting nonspecialist healthcare professionals and care partners, comparing English and Chinese responses. Methods: Seventy-two MCI-relat...
Validation of the transformed clinical practice research datalink (CPRD) GOLD and aurum data into the OMOP common data model [0.03%]
依据OMOP通用数据模型验证Clinical Practice Research Datalink（CPRD）GOLD和Aurum数据的转换结果
George Kafatos,Joe Maskell,Olia Archangelidi et al.
George Kafatos et al.
Objective: To assesses the transformation of UK Clinical Practice Research Datalink (CPRD) databases into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) version 5.3.1. Methods: A systematic approach was used t...
A mobile application for home-based care of indwelling medical devices: Protocol for development and pilot implementation based on the self-efficacy framework and the analysis, design, development, implementation, evaluation (ADDIE) model [0.03%]
家用医疗植入设备照护移动应用程序：基于自我效能框架和分析、设计、开发、实施、评估（ADDIE）模型的研制及试点应用方案
Dakyung Lee,Anna Lee
Dakyung Lee
Objective: This study aims to present the development of a mobile application incorporating accessibility, communication features, and repeated learning opportunities to support patients and caregivers in managing indwelling medical devices...
Determinants of continuous use intention of smart healthcare services: Evidence from a commitment-trust theory perspective [0.03%]
基于承诺信任理论的智能医疗服务持续使用意愿影响因素研究
Kaifeng Liu,Qinyue Li,Da Tao
Kaifeng Liu
Objective: While smart healthcare services have shown potential in improving healthcare efficiency and effectiveness, significant barriers remain for consumers' long-term engagement in such services. The study sought to propose and validate...