Implementing a chest X-ray artificial intelligence tool to enhance tuberculosis screening in India: Lessons learned [0.03%]
在印度利用人工智能工具实施胸部X光片筛查肺结核：经验之谈
Shibu Vijayan,Vaishnavi Jondhale,Tripti Pande et al.
Shibu Vijayan et al.
Artificial Intelligence (AI) based chest X-ray (CXR) screening for tuberculosis (TB) is becoming increasingly popular. Still, deploying such AI tools can be challenging due to multiple real-life barriers like software installation, workflow...
Seeking help for mental health during the COVID-19 pandemic: A longitudinal analysis of adults' experiences with digital technologies and services [0.03%]
新冠肺炎疫情期间寻求心理健康帮助：成年人使用数字技术与服务的纵向分析
Christine E Parsons,Kirstin L Purves,Molly R Davies et al.
Christine E Parsons et al.
The COVID-19 pandemic brought about dramatic changes in how patients access healthcare from its outset. Lockdown restrictions and remote working led to a proliferation of digital technologies and services, which also impacted mental health ...
AI-based approach for transcribing and classifying unstructured emergency call data: A methodological proposal [0.03%]
基于人工智能的紧急呼叫数据转写和分类方法研究：一种系统性方案
Dalton Breno Costa,Felipe Coelho de Abreu Pinna,Anjni Patel Joiner et al.
Dalton Breno Costa et al.
Emergency care-sensitive conditions (ECSCs) require rapid identification and treatment and are responsible for over half of all deaths worldwide. Prehospital emergency care (PEC) can provide rapid treatment and access to definitive care for...
BERT based natural language processing for triage of adverse drug reaction reports shows close to human-level performance [0.03%]
基于BERT的自然语言处理方法用于不良反应报告分类效果接近人类水平
Erik Bergman,Luise Dürlich,Veronica Arthurson et al.
Erik Bergman et al.
Post-marketing reports of suspected adverse drug reactions are important for establishing the safety profile of a medicinal product. However, a high influx of reports poses a challenge for regulatory authorities as a delay in identification...
Machine learning to predict mortality for aneurysmal subarachnoid hemorrhage (aSAH) using a large nationwide EHR database [0.03%]
基于全国范围电子健康档案数据库的动脉瘤性蛛网膜下腔出血患者死亡预测的机器学习研究
Gen Zhu,Anthony Yuan,Duo Yu et al.
Gen Zhu et al.
Aneurysmal subarachnoid hemorrhage (aSAH) develops quickly once it occurs and threatens the life of patients. We aimed to use machine learning to predict mortality for SAH patients at an early stage which can help doctors make clinical deci...
How does ChatGPT-4 preform on non-English national medical licensing examination? An evaluation in Chinese language [0.03%]
ChatGPT-4在非英语国家医学执照考试中的表现：以中文考试为例的评估
Changchang Fang,Yuting Wu,Wanying Fu et al.
Changchang Fang et al.
ChatGPT, an artificial intelligence (AI) system powered by large-scale language models, has garnered significant interest in healthcare. Its performance dependent on the quality and quantity of training data available for a specific languag...
Harris Héritier,Chloé Allémann,Oleksandr Balakiriev et al.
Harris Héritier et al.
Nutrition is a key contributor to health. Recently, several studies have identified associations between factors such as microbiota composition and health-related responses to dietary intake, raising the potential of personalized nutritiona...
Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems [0.03%]
不均衡分类分布及性能评估指标：关于预测准确性的系统回顾以确定医疗保健系统的模型性能
Michael Owusu-Adjei,James Ben Hayfron-Acquah,Twum Frimpong et al.
Michael Owusu-Adjei et al.
Focus on predictive algorithm and its performance evaluation is extensively covered in most research studies to determine best or appropriate predictive model with Optimum prediction solution indicated by prediction accuracy score, precisio...
Parent and clinician perceptions and recommendations on a pediatric cancer pain management app: A qualitative co-design study [0.03%]
儿科癌症疼痛管理应用程序的家长和临床医生的认知与推荐：质性联合设计研究
Lindsay A Jibb,Surabhi Sivaratnam,Elham Hashemi et al.
Lindsay A Jibb et al.
Pain is one of the most prevalent and burdensome pediatric cancer symptoms for young children and their families. A significant proportion of pain episodes are experienced in environments where management options are limited, including at h...
The Healthy Hearts Project: Development and evaluation of a website for cardiovascular risk assessment and visualisation and self-management through healthy lifestyle goal-setting [0.03%]
健康心脏项目：心血管风险评估和可视化及通过健康生活方式目标设定自我管理的网站的研发与评价
Imogen Rogers,Tom Grice-Jackson,Elizabeth Ford et al.
Imogen Rogers et al.
Materially deprived communities in the UK have excess morbidity and mortality from cardiovascular disease (CVD) but are less likely to engage with formal care pathways. Community engagement and e-health may be more effective ways to promote...