On the road to fully automated insulin delivery: A systematic review of meal announcement free algorithms [0.03%]
迈向全自动胰岛素输送的道路上：免报餐算法系统性回顾
Muhammad Ibrahim,Aleix Beneyto,Ivan Contreras et al.
Muhammad Ibrahim et al.
Fully automated insulin delivery (FAID) systems aim to regulate blood glucose levels in individuals with type 1 diabetes with minimal user input. A key challenge to achieving full automation is the need for manual meal announcements. This r...
Large language model-generated clinical summaries in emergency departments: A blinded comparison study [0.03%]
基于大型语言模型的急诊临床总结：一项盲法比较研究
Niloufar Golchini,Nikita Mehandru,Ahmed Alaa et al.
Niloufar Golchini et al.
Emergency department (ED) clinicians routinely construct "one-liner" summaries, distilling a patient's history and presentation into one high-yield sentence that supports rapid decision-making. Producing these summaries is cognitively deman...
Development and validation of a food group system for intake control in people with diabetes: SMARTCLOTH-Database [0.03%]
糖尿病人群控糖食物组合系统的发展与验证：SMARTCLOTH-数据库
María García-Rodríguez,Fernando León-García,Rafael Molina-Luque et al.
María García-Rodríguez et al.
This study presents the development and validation of the SMARTCLOTH-Database, a structured food group system designed to support dietary management for individuals with diabetes. The database organises foods into 20 nutritionally coherent ...
Doctors vs. Algorithms: Physicians, too, struggle to learn from evidence that contradicts AI suggestions [0.03%]
医生与算法：当证据与人工智能建议相左时，医师也会难以从中学习
Aranzazu Vinas,Fernando Blanco,Helena Matute
Aranzazu Vinas
Despite their widespread adoption, Artificial Intelligence-based Patient Classification Systems sometimes rely on incorrect, outdated, or incomplete data, which can lead to inaccurate outputs. Nevertheless, health professionals are expected...
Public health informatics tools for dengue risk management: A systematic review [0.03%]
登革热风险管理的公共卫生信息工具：系统性综述
Naif M Alraihan,Maddy French,Danielle Collingridge Moore et al.
Naif M Alraihan et al.
Public health informatics (PHI) tools, including Geographic Information Systems (GIS), Electronic Health Records (EHRs), and Health Information Exchange systems, are increasingly applied to dengue fever surveillance, prevention, and control...
Large language model analysis of real-world phone calls reveals prodromal and progressive biomarker of parkinsonism: A two-year proof-of-concept study [0.03%]
大型语言模型分析现实生活中的电话通话揭示了帕金森症前期和进行性生物标志物：一项两年的概念验证研究
Martin Šubert,Vojtěch Illner,Michal Novotný et al.
Martin Šubert et al.
No sufficiently sensitive biomarker exists to monitor disease progression to assess treatment efficacy in synucleinopathies such as Parkinson's disease (PD), particularly during the prodromal phase when interventions are likely to be most e...
MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD [0.03%]
MERWACS：开发和外部验证一种非侵入性机器学习工具以识别需要筛查CKD的受试者
Daniel Yoo,Vy Kim Nguyen,Umberto Maggiore et al.
Daniel Yoo et al.
Early detection of chronic kidney disease (CKD) is a critical public health priority. However, a gap exists for non-invasive tools to guide screening selection in the general adult population, leaving many at-risk individuals undiagnosed. W...
Modeling predictors of incomplete antenatal care utilization among reproductive-age women in Ethiopia using machine learning algorithms and SHAP interpretation [0.03%]
基于机器学习算法和SHAP解释的埃塞俄比亚育龄妇女产前护理利用不足预测因素建模
Jibril Bashir Adem,Anas Ali Alhur,Abdene Weya Kaso et al.
Jibril Bashir Adem et al.
The incidence of maternal deaths from preventable pregnancy-related conditions remains alarmingly high at 303,000 annually, with over 800 women dying daily from avoidable causes. Ethiopia is one of eight sub-Saharan African countries that a...
Evaluating the quality, reliability and readability of digital and artificial intelligence resources for adults with cancer who have significant caregiving responsibilities for children [0.03%]
评估数字和人工智能资源的质量、可靠性和可读性，以帮助具有重要育儿责任的成人癌症患者
Rohan Anand,Cherith J Semple,Lisa Strutt et al.
Rohan Anand et al.
Families often report searching the internet for guidance on how best to support children when a significant adult has cancer. This study aimed to identify and evaluate the quality, reliability, readability and content of websites, videos, ...
Large language models as versatile predictive engines for notifiable infectious diseases [0.03%]
大型语言模型作为报告传染病的通用预测引擎
Xinsheng Wu,Jinyuan Wu,Zhongwen Wang et al.
Xinsheng Wu et al.
Accurate forecasting of infectious disease cases and deaths is crucial for public health decision-making. Traditional statistical and machine learning approaches may be challenged by complex temporal patterns and heterogeneous surveillance ...