A Meta-Analysis of the Diagnostic Test Accuracy of Artificial Intelligence for Predicting Emergency Department Revisits [0.03%]
人工智能预测急诊复诊的诊断准确性Meta分析
Kuang-Ming Kuo,Wen-Shiann Wu,Chao Sheng Chang
Kuang-Ming Kuo
The revisit of the emergency department (ED) is a key indicator of emergency care quality. Various strategies have been proposed to reduce ED revisits, including the use of artificial intelligence (AI) models for prediction. However, AI mod...
Large Language Models and the Analyses of Adherence to Reporting Guidelines in Systematic Reviews and Overviews of Reviews (PRISMA 2020 and PRIOR) [0.03%]
大型语言模型与系统评价和回顾性综述（PRISMA 2020 和 PRIOR）报告指南依从性分析的研究
Diego A Forero,Sandra E Abreu,Blanca E Tovar et al.
Diego A Forero et al.
In the context of Evidence-Based Practice (EBP), Systematic Reviews (SRs), Meta-Analyses (MAs) and overview of reviews have become cornerstones for the synthesis of research findings. The Preferred Reporting Items for Systematic Reviews and...
Preparing Tomorrow's Physicians: The Case for Machine Learning in Medical Education [0.03%]
机器学习在医学教育中的作用：培养明天的医师
Julian Michael Burwell
Julian Michael Burwell
Machine learning should be integrated into medical curricula to prepare physicians-in-training for 21st-century practice conditions. This comment proposes practical implementation strategies that build upon existing educational frameworks b...
Artificial Intelligence (AI) Facts Labels: An Innovative Disclosure Tool Promoting Patient-Centric Transparency in Healthcare AI Systems [0.03%]
医疗保健人工智能系统的以患者为中心的透明事实标签披露工具
Katrina A Bramstedt
Katrina A Bramstedt
In the field of healthcare, artificial intelligence (AI)-assisted solutions can be viewed with anxiety or apprehension, thus transparency and trust-building are essential. AI is often invisible (and potentially undisclosed) to users, violat...
Mohsin Hasan,Wenjuan Wu,Xufeng Zhao
Mohsin Hasan
Predicting epileptic seizures presents a substantial difficulty in healthcare, with considerable implications for enhancing patient outcomes and quality of life. This paper presents an explainable artificial intelligence (AI) that integrate...
User Engagement with A Multimodal Conversational Agent for Self-Care and Chronic Disease Management: A Retrospective Analysis [0.03%]
针对自我保健和慢性病管理的多模态对话代理用户参与度的回顾性分析
Selahattin Colakoglu,Mustafa Durmus,Zeynep Pelin Polat et al.
Selahattin Colakoglu et al.
Introduction: Understanding user engagement with conversational agents is key to their sustainable use in mobile health and improving patient outcomes. This retrospective study analyzed interactions with a multimodal conv...
Performance of DeepSeek-R1 and ChatGPT-4o on the Chinese National Medical Licensing Examination: A Comparative Study [0.03%]
DeepSeek-R1和ChatGPT-4o参加中国国家医师资格考试表现的比较研究
Jin Wu,Zhiheng Wang,Yifan Qin
Jin Wu
Large Language Models (LLMs) have a significant impact on medical education due to their advanced natural language processing capabilities. ChatGPT-4o (Chat Generative Pre-trained Transformer), a mainstream Western LLM, demonstrates powerfu...
Comparative Study
Journal of medical systems. 2025 Jun 3;49(1):74. DOI:10.1007/s10916-025-02213-z 2025
Enhancing Cricothyroidotomy Training for Novices Using Three-Dimensional-Printed Patient-Specific Models of a Patient with Obesity [0.03%]
利用三维打印的患者特异性模型增强对肥胖患者的环甲膜切开术训练
Jaeeun Song,Junhyeok Ock,Wook-Jong Kim et al.
Jaeeun Song et al.
This study aimed to enhance cricothyroidotomy training for novice practitioners using three-dimensional-printed patient-specific models based on computed tomography images of a patient with obesity, evaluate these models compared to convent...
Randomized Controlled Trial
Journal of medical systems. 2025 Jun 3;49(1):75. DOI:10.1007/s10916-025-02209-9 2025
The Role of Artificial Intelligence Large Language Models in Personalized Rehabilitation Programs for Knee Osteoarthritis: An Observational Study [0.03%]
人工智能大型语言模型在膝骨关节炎个性化康复项目中的作用：一项观察性研究
Ömer Alperen Gürses,Anıl Özüdoğru,Figen Tuncay et al.
Ömer Alperen Gürses et al.
Background: Large language models (LLMs) can contribute to treatment options and outcomes by assisting physiotherapists for conditions like osteoarthritis. ...
Observational Study
Journal of medical systems. 2025 Jun 3;49(1):73. DOI:10.1007/s10916-025-02207-x 2025
Comparative Analysis of Feature Extraction Methods and Machine Learning Models for Predicting Osteoporosis Prevalence [0.03%]
骨质疏松症流行率预测的特征提取方法和机器学习模型比较分析
Danni Zhang,Xingyu Yang,Fangying Wang et al.
Danni Zhang et al.
This study systematically examined the impact of three feature selection techniques (Boruta, Extreme gradient boosting (XGBoost), and Lasso) for optimizing four machine learning models (Random forest (RF), XGBoost, Logistic regression (LR),...
Comparative Study
Journal of medical systems. 2025 May 29;49(1):72. DOI:10.1007/s10916-025-02203-1 2025