Emerging trends in multi-modal artificial intelligence for clinical decision support: A narrative review [0.03%]
多模态人工智能在临床决策支持中的新兴趋势：叙述性综述
Nurittin Ardic,Rasit Dinc
Nurittin Ardic
Multimodal artificial intelligence (MMAI) integrates and interprets diverse data types, such as images, text, video, and audio, and offers new opportunities for clinical decision support systems (CDSSs). Traditional CDSSs rely on unimodal d...
Inadequate health professional touch in YouTube™ videos on how to administer subcutaneous immunoglobulin in immunodeficiency [0.03%]
YouTube上关于如何为免疫缺陷患者肌内注射免疫球蛋白视频中专业医护人员指导不足分析
Merve Erkoç,Gürgün Tuğçe Vural Solak,Yavuzalp Solak
Merve Erkoç
The aim was to evaluate the content of videos titled "How to administer subcutaneous immunoglobulin in immunodeficiency" on YouTube. The search term 'How to administer subcutaneous immunoglobulin in immunodeficiency?' was searched on YouTub...
A secondary data analysis on hypotheses generated by inexperienced clinical researchers: Cases from a randomized controlled study [0.03%]
新手临床研究人员提出的假设的二次数据分析：一项随机对照研究中的病例分析
Mytchell A Ernst,Brooke N Draghi,James J Cimino et al.
Mytchell A Ernst et al.
Objectives: To obtain insights about inexperienced clinical researchers' hypothesis quality and associated factors. The findings inform the development of informatics tools to aid the hypothesis generation process. Methods: We analyzed an e...
Enhancing coronary heart disease diagnosis: Comparative analysis of data pre-processing techniques and machine learning models using clinical medical records [0.03%]
利用临床医疗记录增强冠心病诊断：数据预处理技术和机器学习模型的比较分析
Chun-Wei Tseng,Ling-Chun Sun,Ke-Feng Lin et al.
Chun-Wei Tseng et al.
Machine learning techniques offer significant potential for improving the diagnosis of coronary heart disease by enabling earlier detection and timely intervention. This study presents a machine learning-based method utilizing clinical reco...
Application of machine learning algorithm for the prediction of lupus nephritis using SNP data, polygenic risk score, and electronic health record [0.03%]
基于SNP数据、多基因风险评分和电子健康记录的机器学习算法在狼疮性肾炎预测中的应用研究
Chih-Wei Chung,Seng-Cho Chou,Chung-Mao Kao et al.
Chih-Wei Chung et al.
Background: Lupus nephritis (LN) flares raise the risks of renal failure and mortality in systemic lupus erythematosus (SLE) patients, making risk stratification and individualized care crucial. Our goal was to develop ma...
ReferID+ and AsthmaOptimiser: Digital tools to support structured asthma consultations in primary care [0.03%]
ReferID+和AsthmaOptimiser：基层医疗哮喘结构化咨询的数字工具
David J Jackson,Hetal Dhruve,Bertine Flokstra-de Blok et al.
David J Jackson et al.
Introduction: Globally, many patients with severe or uncontrolled asthma receive inadequate treatment, which contributes to significant disease burden, healthcare resource utilisation, and decreased health-related quality of life. There is ...
Integrating embodied cognition with the UTAUT model to investigate factors influencing the adoption of home-based health monitoring systems [0.03%]
将具身认知与UTAUT模型相结合以调查影响家庭健康监测系统采用的因素
Zhen Zhao,Kaifeng Liu,She Lyu et al.
Zhen Zhao et al.
Objective: Factors influencing users' adoption of the home-based health monitoring system (HHMS) were examined by integrating embodied cognition with the unified theory of acceptance and use of technology (UTAUT) model. Methods: Data from 4...
Effective detection of Covid-19 using Xception net architecture: A technical investigation using X-ray images [0.03%]
基于Xception网络架构的有效COVID-19检测：使用X射线图像的技术调查
Kuljeet Singh,Surbhi Gupta,Neeraj Mohan et al.
Kuljeet Singh et al.
The disastrous era of COVID-19 has altered the perspectives of nearly all nations concerning the health and education sectors. Artificial intelligence is a pressing need that needs to be implemented thoroughly in the medical and educational...
Efficiency of Electronic Health Record users in the General Health System of Cyprus [0.03%]
塞浦路斯普通卫生系统中电子健康记录用户的工作效率
Periklis Rompolas,Panicos Masouras,Sotiris Avgousti et al.
Periklis Rompolas et al.
Objective: In 2019, Cyprus implemented on a country-wide basis the Electronic Health Record (EHR) system as part of its General Health System (GHS). This study aims to assess the efficiency levels of EHR users within the GHS. Methods: A cro...
Are electronic health record big data ready for secondary use in research? Exploring potential limitations with opioids as a case study [0.03%]
电子健康记录的大数据是否已经准备好用于二次研究？以阿片类药物为例探讨其潜在限制因素
Hanna M Tolonen,Jouni Kaukovuori,Marja Airaksinen et al.
Hanna M Tolonen et al.
Healthcare big data has raised expectations for secondary use in research and information-based management. This case study explores limitations of using electronic health record (EHR) data from a hospital data lake by deriving indicators o...