Automating Individualized Notification of Drug Recalls to Patients: Complex Challenges and Qualitative Evaluation [0.03%]
自动化向患者个性化通报药物召回的复杂挑战和定性评估
Meghana Gadgil,Rose Pavlakos,Simona Carini et al.
Meghana Gadgil et al.
Background: Consumer-level drug recalls usually require action by individual patients. The Food and Drug Administration (FDA) has public-facing outlets to inform the public about drug safety information, including all rec...
Evaluating the Financial Factors Influencing Maternal, Newborn, and Child Health in Africa: Tobit Regression and Data Envelopment Analysis [0.03%]
评估非洲妇女、新生儿和儿童健康问题的财务因素：托빗回归与数据包 envelopment 分析
Youssef Er-Rays,Meriem M&#x;dioud,Hamid Ait-Lemqeddem et al.
Youssef Er-Rays et al.
Background: Despite international efforts, maternal, newborn, and child health (MNCH) outcomes in Africa continue to lag due to inefficient health systems and underperforming financial frameworks. Financial factors-such a...
Assessing the Limitations of Large Language Models in Clinical Practice Guideline-Concordant Treatment Decision-Making on Real-World Data: Retrospective Study [0.03%]
大型语言模型在现实世界临床实践指南一致的治疗决策中的局限性评估：回顾性研究
Tobias Roeschl,Marie Hoffmann,Djawid Hashemi et al.
Tobias Roeschl et al.
Background: Studies have shown that large language models (LLMs) are promising in therapeutic decision-making, with findings comparable to those of medical experts, but these studies used highly curated patient data. ...
Impact of the COVID-19 Pandemic on Routine Childhood Vaccination Coverage in Ecuador From 2019 to 2021: Comparative Analysis [0.03%]
2019至2021年新冠疫情对厄瓜多尔儿童常规疫苗接种率的影响：对比分析研究
Jose Sanchez,Alejandro Arjuna Rodriguez Sr,Kimberlly Pamela Montenegro Cuello Sr
Jose Sanchez
Background: The COVID-19 pandemic disrupted essential health care services globally, including routine childhood immunization programs. Ecuador faced significant challenges in maintaining vaccination coverage during this ...
Development of a Conversational Artificial Intelligence-Based Web Application for Medical Consultations: Prototype Study [0.03%]
基于会话的人工智能的医疗咨询网络应用开发：原型研究
Jorge Guerra Pires
Jorge Guerra Pires
Background: Artificial intelligence (AI) has evolved through various trends, with different subfields gaining prominence over time. Currently, conversational AI-particularly generative AI-is at the forefront. Conversation...
Estimating Variance of Log Standardized Incidence Ratios Assessing Health Care Providers' Performance: Comparative Analysis Using Bayesian, Bootstrap, and Delta Method Approaches [0.03%]
基于Bayesian、Bootstrap和Delta方法估计评估医疗提供者绩效的日发病率比对数标准化方差的比较分析
Solomon Woldeyohannes,Yomei Jones,Paul Lawton
Solomon Woldeyohannes
Background: In health care providers' performance assessment, standardized incidence ratios are essential tools used to assess whether observed event rates deviate from expected values. Accurate estimation of variance in ...
Challenges in Implementing a Mobile AI Chatbot Intervention for Depression Among Youth on Psychiatric Waiting Lists: Randomized Controlled Study Termination Report [0.03%]
针对精神病候诊青年抑郁症移动AI聊天机器人干预实施的挑战：随机对照试验终止报告
Junichi Fujita,Yuichiro Yano,Satoru Shinoda et al.
Junichi Fujita et al.
Background: The mental health of children and adolescents is a growing public health concern, with increasing rates of depression and anxiety impacting their emotional, social, and academic well-being. In Japan, access to...
Effects of Interventions for the Prevention and Management of Maternal Anemia in the Advent of the COVID-19 Pandemic: Systematic Review and Meta-Analysis [0.03%]
新冠疫情背景下干预措施对预防和治疗产妇贫血的效果：系统评价和meta分析
John Kyalo Muthuka,Dianna Kageni Mbari-Fondo,Francis Muchiri Wambura et al.
John Kyalo Muthuka et al.
Background: The COVID-19 pandemic presented many unknowns for pregnant women, with anemia potentially worsening pregnancy outcomes due to multiple factors. ...
Real-World Performance of COVID-19 Antigen Tests: Predictive Modeling and Laboratory-Based Validation [0.03%]
基于实验室的验证及预测模型下的新冠病毒抗原检测试剂盒的性能分析
Miguel Bosch,Dawlyn Garcia,Lindsey Rudtner et al.
Miguel Bosch et al.
Background: Rapid and safe deployment of lateral-flow antigen tests, coupled with uncompromised quality assurance, is critical for outbreak control and pandemic preparedness, yet real-world performance assessment still la...
Real-Time Health Monitoring Using 5G Networks: Deep Learning-Based Architecture for Remote Patient Care [0.03%]
基于深度学习的远程病人护理的5G实时健康监测架构
Iqra Batool
Iqra Batool
Background: Remote patient monitoring systems face critical challenges in real-time vital sign analysis and secure data transmission. Objective: ...