Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation [0.03%]
用于改善埃勒斯-丹洛斯综合征（EDS）评估精度的混合深度学习角度测量法
Thirumalesu Kudithi,J Balajee,R Sivakami et al.
Thirumalesu Kudithi et al.
Background: Generalized Joint Hyper-mobility (GJH) can aid in the diagnosis of Ehlers-Danlos Syndrome (EDS), a complex genetic connective tissue disorder with clinical features that can mimic other disease processes. Our ...
ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes [0.03%]
ARDSFlag：一种NLP/机器学习算法，能够可视化并检测出高概率的ARDS入院病例，且不受提供商识别和计费代码的影响
Amir Gandomi,Phil Wu,Daniel R Clement et al.
Amir Gandomi et al.
Background: Despite the significance and prevalence of acute respiratory distress syndrome (ARDS), its detection remains highly variable and inconsistent. In this work, we aim to develop an algorithm (ARDSFlag) to automat...
Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN [0.03%]
基于可穿戴ECG传感器和CNN的早发性心肺并发症检测及训练监控
HongYuan Lu,XinMiao Feng,Jing Zhang
HongYuan Lu
This research study demonstrates an efficient scheme for early detection of cardiorespiratory complications in pandemics by Utilizing Wearable Electrocardiogram (ECG) sensors for pattern generation and Convolution Neural Networks (CNN) for ...
Impact of linkage level on inferences from big data analyses in health and medical research: an empirical study [0.03%]
我国卫生和医学研究中大数据分析推理的实证研究：关于关联性的影响
Bora Lee,Young-Kyun Lee,Sung Han Kim et al.
Bora Lee et al.
Background: Linkage errors that occur according to linkage levels can adversely affect the accuracy and reliability of analysis results. This study aimed to identify the differences in results according to personally iden...
Improve the efficiency and accuracy of ophthalmologists' clinical decision-making based on AI technology [0.03%]
基于AI技术提高眼科医生临床决策效率及准确性
Yingxuan Guo,Changke Huang,Yaying Sheng et al.
Yingxuan Guo et al.
Background: As global aging intensifies, the prevalence of ocular fundus diseases continues to rise. In China, the tense doctor-patient ratio poses numerous challenges for the early diagnosis and treatment of ocular fundu...
Optimization of vision transformer-based detection of lung diseases from chest X-ray images [0.03%]
基于视觉变压器的胸部X光图像肺部疾病检测优化
Jinsol Ko,Soyeon Park,Hyun Goo Woo
Jinsol Ko
Background: Recent advances in Vision Transformer (ViT)-based deep learning have significantly improved the accuracy of lung disease prediction from chest X-ray images. However, limited research exists on comparing the ef...
Effect of the data-informed platform for health intervention on the culture of data use for decision-making among district health office staff in North Shewa Zone, Ethiopia: a cluster-randomised controlled trial [0.03%]
一种健康数据平台对改善埃塞俄比亚东北萧区地方卫生局工作人员决策用数文化的影响：集群随机对照试验
Girum Taye Zeleke,Bilal Iqbal Avan,Mehret Amsalu Dubale et al.
Girum Taye Zeleke et al.
Background: Similar to other low and middle-income countries, Ethiopia faces limitations in using local health data for decision-making.We aimed to assess the effect of an intervention, namely the data-informed platform f...
Randomized Controlled Trial
BMC medical informatics and decision making. 2024 Jul 5;24(1):190. DOI:10.1186/s12911-024-02597-x 2024
Measuring electronic health literacy in the context of diabetes care: psychometric evaluation of a Persian version of the condition-specific eHealth literacy scale for diabetes [0.03%]
糖尿病护理背景下电子健康素养的测量：糖尿病条件特定的e健康素养量表的波斯语版本的心理测量学评价
Maryam Peimani,Mozhgan Tanhapour,Fatemeh Bandarian et al.
Maryam Peimani et al.
Background: The rise of the internet and social media has led to increased interest among diabetes patients in using technology for information gathering and disease management. However, adequate eHealth literacy is cruci...
How intervention studies measure the effectiveness of medication safety-related clinical decision support systems in primary and long-term care: a systematic review [0.03%]
干预研究如何衡量药物安全相关临床决策支持系统在初级和长期护理中的有效性：系统评价
David Lampe,John Grosser,Dennis Grothe et al.
David Lampe et al.
Background: Medication errors and associated adverse drug events (ADE) are a major cause of morbidity and mortality worldwide. In recent years, the prevention of medication errors has become a high priority in healthcare ...
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging [0.03%]
基于深度学习的智能手机成像实时无创预测血红蛋白浓度
Yuwen Chen,Xiaoyan Hu,Yiziting Zhu et al.
Yuwen Chen et al.
Background: Accurate measurement of hemoglobin concentration is essential for various medical scenarios, including preoperative evaluations and determining blood loss. Traditional invasive methods are inconvenient and not...