ChatGPT-4o with faculty guidance outperforms AI-only and traditional learning in ultrasonography training: a randomized trial [0.03%]
在超声训练中，师生指导下的ChatGPT-4o优于纯AI和传统学习方法：一项随机试验
Dao-Rong Hong,Chun-Yan Huang,Jiu Gao
Dao-Rong Hong
Background: Ultrasonography training for residents is challenging owing to its operator-dependent nature and difficulties in mastering subtle image interpretation. Multimodal large language models like ChatGPT-4o enable e...
Early detection of chronic kidney disease using deep learning: a Mini review [0.03%]
基于深度学习的慢性肾脏病早期检测研究进展：迷你综述
Md Jakir Hossen,Hasanul Bannah,Ridwan Jamal Sadib
Md Jakir Hossen
Chronic Kidney Disease (CKD) remains a major contributor to global morbidity, often progressing unnoticed until advanced stages when treatment options become limited and costly. Recent advances in deep learning have reshaped early CKD asses...
Technological architecture for a multi-region solution within the regulation of Brazil's Unified Health System [0.03%]
巴西统一卫生系统多区域解决方案的技术架构
Pablo Holanda Cardoso,Tiago de Oliveira Barreto,Janaína Luana Rodrigues da Silva Valentim et al.
Pablo Holanda Cardoso et al.
Introduction: This article presents the design and implementation of a digital health technology architecture focused on healthcare regulation in Brazil's National Health System (SUS). The objective was to develop an arch...
Machine learning prediction of oxygen therapy in pediatric Mycoplasma pneumoniae pneumonia [0.03%]
机器学习在儿童支原体肺炎氧疗中的预测作用
Claudio Coppola,Judith Jeyafreeda Andrew,Martino Ruggieri et al.
Claudio Coppola et al.
Background: Mycoplasma pneumoniae pneumonia represents a significant cause of community-acquired pneumonia in children, with clinical presentations ranging from mild to severe forms requiring respiratory support. Early id...
Beyond the pilot phase: exploring the sustainable implementation of artificial intelligence in the English NHS [0.03%]
从试点阶段出发：探索在英格兰NHS中可持续实施人工智能的方法
Nilangi Patil,Charitini Stavropoulou
Nilangi Patil
Background: We explore the experiences of Artificial Intelligence (AI) innovators who had received funding to pilot their innovation in the English NHS, with the aim of understanding what hinders and supports, from their ...
PICO-based assessment and categorization of evidence for digital health interventions: an inductive framework development [0.03%]
基于PICO的数字健康干预证据评估与分类：一种归纳框架的发展
Uwe Buddrus,Jan-Oliver Kutza,Johannes Thye et al.
Uwe Buddrus et al.
Background: Despite the increasing number of systematic reviews on digital health interventions (DHIs), clear and robust evidence remains elusive due to methodological shortcomings in formulating research questions and co...
Prescription drug monitoring program perceptions before and after an interprofessional workshop: a theory-informed longitudinal survey study [0.03%]
一项基于理论的纵向调查研究：药学监控项目认知的跨专业研讨会前后的变化
Anne Taylor,Haley Phillippe,Brent Fox et al.
Anne Taylor et al.
Introduction: The Prescription Drug Monitoring Program (PDMP) is a digital tool that can mitigate controlled substance misuse in the United States; however, it remains underutilized and end-users lack sufficient training....
An explainable ensemble machine learning model using baseline blood transcriptomics to predict Parkinson's disease motor progression [0.03%]
一种可解释的集成机器学习模型，利用基线血液转录组学预测帕金森病运动进展
Yelda Fırat
Yelda Fırat
Introduction: Predicting Parkinson's disease (PD) motor progression remains challenging despite advances in neuroimaging. Blood-based transcriptomic profiling offers a more accessible and cost-effective alternative. This ...
Real-world walking speed as a digital biomarker and outcome measure for clinical trials-a systematic review, regulatory status and future directions [0.03%]
真实世界的步行速度作为数字生物标志物和临床试验结果测量的系统评价、监管现状及未来方向
Margaux Poleur,Cyril Tychon,Stephen Gilbert et al.
Margaux Poleur et al.
Introduction: Walking speed is a key measure of health and mobility across a wide range of diseases. Traditional gait assessments in clinical settings may not accurately reflect real-world mobility patterns. Wearable sens...
Non invasive blood glucose estimation using green light photoplethysmography and machine learning [0.03%]
基于绿色光容积波形图和机器学习的无创血糖估算方法
Khadija Khan,Laraib Malik,Abdul Qadeer Khan et al.
Khadija Khan et al.
Non-communicable diseases, such as diabetes, are the leading cause of mortality worldwide. Effective diabetes management is crucial for ensuring the well-being of diabetics. Existing glucose monitoring technologies are often invasive and un...