Environmental and contextual factors influencing e-health use among older adults: A rapid review [0.03%]
影响老年人使用数字健康产品的环境及情景因素：一次系统综述研究
Samer H Sharkiya,Anat M Hag
Samer H Sharkiya
Introduction: E-health services offer potential benefits for healthcare delivery, especially for older adults, yet their adoption remains suboptimal due to various barriers. Understanding the environmental and contextual ...
Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study [0.03%]
评估大型语言模型与人类在总结磁共振膝关节放射学报告方面的表现：一项可行性研究
Pilar López-Úbeda,Teodoro Martín-Noguerol,Carolina Díaz-Angulo et al.
Pilar López-Úbeda et al.
Objectives: This study addresses the critical need for accurate summarization in radiology by comparing various Large Language Model (LLM)-based approaches for automatic summary generation. With the increasing volume of p...
A graduate medical education (GME) quality improvement curriculum leads to improved knowledge and participation in high quality improvement projects by trainees [0.03%]
住院医师教学质量改进课程能够提升教学水平并提高受训者参与高质量改进项目的积极性
Marie Anne Sosa,Neeta Garg,Joan St Onge et al.
Marie Anne Sosa et al.
Background: There is increased awareness about the need for quality improvement (QI) education for trainees within clinical training programs. However, formal integration of a QI curriculum into graduate medical education...
Predictive analytics support for complex chronic medical conditions: An experience-based co-design study of physician managers' needs and preferences [0.03%]
基于经验的共设计研究：复杂慢性医疗条件预测分析支持医师经理的需求和偏好
Muhammad Rafiq,Pamela Mazzocato,Christian Guttmann et al.
Muhammad Rafiq et al.
Purpose: The literature suggests predictive technology applications in health care would benefit from physician and manager input during design and development. The aim was to explore the needs and preferences of physicia...
S Jahandideh,A F Hutchinson,T K Bucknall et al.
S Jahandideh et al.
Background: Identifying patients at high risk of falling is crucial in implementing effective fall prevention programs. While the integration of information systems is becoming more widespread in the healthcare industry, ...
Taxonomy development methods regarding patient safety in health sciences - A systematic review [0.03%]
关于健康科学中患者安全的分类发展方法——系统性综述
Tiina Syyrilä,Saija Koskiniemi,Elizabeth Manias et al.
Tiina Syyrilä et al.
Background: Taxonomies are needed for automated analysis of clinical data in healthcare. Few reviews of the taxonomy development methods used in health sciences are found. This systematic review aimed to describe the scop...
Temporal validation of a Generalized Additive2 Model (GA2M) to assess the risk of Chronic Kidney Disease (CKD) [0.03%]
广义加性模型（GA2M）评估慢性肾病（CKD）风险的时序检验
Francesco Lapi,Lorenzo Nuti,Iacopo Cricelli et al.
Francesco Lapi et al.
Objective: To assess the temporal validity of a model predicting the risk of Chronic Kidney Disease (CKD) using Generalized Additive2 Models (GA2M). Mater...
Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach [0.03%]
基于机器学习方法解释韩国儿童和青少年智能手机成瘾的预测因素
Kyungwon Kim,Yoewon Yoon,Soomin Shin
Kyungwon Kim
Background: Korea is known for its technological prowess, has the highest smartphone ownership rate in the world at 95%, and the smallest gap in smartphone ownership between generations. Since the onset of the COVID-19 pa...
A novel decision support system for proactive risk management in healthcare based on fuzzy inference, neural network and support vector machine [0.03%]
基于模糊推理、神经网络和支持向量机的医疗保健主动风险管理体系的决策支持系统研究
Amine En-Naaoui,Mohammed Kaicer,Aicha Aguezzoul
Amine En-Naaoui
Background: The nature of activities practiced in healthcare organizations makes risk management the most crucial issue for decision-makers, especially in developing countries. New technologies provide effective solutions...
Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods [0.03%]
关于医疗保健AI的研究：实证方法促进公共参与的系统评价
Emma Kellie Frost,Rebecca Bosward,Yves Saint James Aquino et al.
Emma Kellie Frost et al.
Objective: With the recent increase in research into public views on healthcare artificial intelligence (HCAI), the objective of this review is to examine the methods of empirical studies on public views on HCAI. We map h...