MBT: Model-Based Transformer for retinal optical coherence tomography image and video multi-classification [0.03%]
基于模型的变压器：用于视网膜光学相干断层扫描图像和视频多分类
Badr Ait Hammou,Fares Antaki,Marie-Carole Boucher et al.
Badr Ait Hammou et al.
Background and objective: The detection of retinal diseases using optical coherence tomography (OCT) images and videos is a concrete example of a data classification problem. In recent years, Transformer architectures hav...
MVIRA: A model based on Missing Value Imputation and Reliability Assessment for mortality risk prediction [0.03%]
基于缺失值插补和可靠性评估的死亡风险预测模型 MVIRA
Bo Li,Yide Jin,Xiaojing Yu et al.
Bo Li et al.
Background: Mortality risk prediction is to predict whether a patient has the risk of death based on relevant diagnosis and treatment data. How to accurately predict patient mortality risk based on electronic health recor...
Implementation, service effectiveness and satisfaction with teleconsultation services in China during the COVID-19 pandemic: from the Perspective of Primary Health Care Professionals [0.03%]
中国新冠肺炎疫情期间远程咨询的实施、服务效果及基层医疗专业人员满意度分析
Jinming Shi,Zhongke Tan,Qianqian Ma et al.
Jinming Shi et al.
Objective: This study aims to evaluate satisfaction and service effectiveness of primary hospital physicians participating in the National Telemedicine Center of China during the COVID-19 period, and to identify potential...
Analysis of factors inhibiting the customer engagement of eHealth in India: Modeling the barriers using ISM-Fuzzy MICMAC analysis [0.03%]
印度影响eHealth客户参与度的因素分析：使用ISM-Fuzzy MICMAC建立障碍模型
Dikhita Das,Anita Sengar
Dikhita Das
Introduction: The current study aims to evaluate and measure the relationship between the customer engagement barriers influencing the adoption of eHealth in India. Previous studies have shown that low levels of engagemen...
Development and validation of colorectal cancer risk prediction tools: A comparison of models [0.03%]
结直肠癌风险预测工具的开发与验证：比较各种模型
Duco T Mülder,Rosita van den Puttelaar,Reinier G S Meester et al.
Duco T Mülder et al.
Background: Identification of individuals at elevated risk can improve cancer screening programmes by permitting risk-adjusted screening intensities. Previous work introduced a prognostic model using sex, age and two prec...
Development and validation of a prediction model for evaluating extubation readiness in preterm infants [0.03%]
早产儿拔管准备评估的预测模型的开发和验证
Wongeun Song,Young Hwa Jung,Jihoon Cho et al.
Wongeun Song et al.
Successful early extubation has advantages not only in terms of short-term respiratory morbidities and survival but also in terms of long-term neurodevelopmental outcomes in preterm infants. However, no consensus exists regarding the optima...
The use and role of digital technology in learning health systems: A scoping review [0.03%]
数字化技术在学习型卫生系统中的作用和角色的综述研究
Alison Coates,Alexander Q H Chung,Lysanne Lessard et al.
Alison Coates et al.
Objective: The review aimed to identify which digital technologies are proposed or used within learning health systems (LHS) and to analyze the extent to which they support learning processes in LHS. ...
Are chronic condition management visits translatable to telehealth? Analysis of in-person consultations in primary care [0.03%]
慢性病管理就诊可以转换为远程医疗服务吗？对初级保健中面对面咨询的分析
Kanesha Ward,Sanjyot Vagholkar,Jared Lane et al.
Kanesha Ward et al.
Background: Telehealth was rapidly adopted in primary care during COVID-19. However, there is a lack of research assessing how translatable in-person consultations are to telehealth. ...
Analysis of neuropsychological and neuroradiological features for diagnosis of Alzheimer's disease and mild cognitive impairment [0.03%]
阿尔茨海默病和轻度认知障碍的神经心理学及神经影像学特征分析研究
Vladimir Kurbalija,Zoltan Geler,Tijana Vujanić Stankov et al.
Vladimir Kurbalija et al.
Background: Age-related neurodegenerative diseases are constantly increasing with prediction that in 2050 over 60 % of population will suffer from some level of cognitive impairment. A cure for the Alzheimer's disease (AD...
Clinical application of radiological AI for pulmonary nodule evaluation: Replicability and susceptibility to the population shift caused by the COVID-19 pandemic [0.03%]
放射组学AI在肺结节评估中的临床应用：可重复性和对由COVID-19大流行引起的人群变化的敏感性
Yuriy Vasilev,Anton Vladzymyrskyy,Kirill Arzamasov et al.
Yuriy Vasilev et al.
Purpose: replicability and generalizability of medical AI are the recognized challenges that hinder a broad AI deployment in clinical practice. Pulmonary nodes detection and characterization based on chest CT images is on...