Vera Sorin,Eyal Klang
Vera Sorin
Coiera and Fraile-Navarro question whether AI scribes are being evaluated on metrics that truly impact care. While current evaluations focus on the quality of the initial draft, signed clinical notes are dynamic, as their content can be cop...
Unimodal and Multimodal Deep Learning for Pressure Injury Identification: Scoping Review [0.03%]
压力损伤识别的一模和多模深度学习：综述性研究
Yingxue Sun,Congcong Liu,Ji-Cheng Zhang et al.
Yingxue Sun et al.
Background: Pressure injury (PI) can cause severe infections or death, and has a high global prevalence. Accurate staging is vital for effective intervention. Deep learning streamlines PI assessment; enhances efficiency; ...
Network Analysis-Driven Machine Learning Model for Identifying High-Cost Stroke Inpatients Using Hospital Discharge Data: Retrospective Study [0.03%]
基于网络分析的机器学习模型：一项使用医院结算数据识别高成本卒中住院患者的回顾性研究
Haohui Shen,Yilong Yang,Mengge Zhang et al.
Haohui Shen et al.
Background: The medical burden caused by stroke is increasingly severe, and a small minority of high-cost patients consume the majority of medical expenditures. Therefore, revealing the formation mechanisms of this popula...
From Data Poverty to Data Sovereignty: Operationalizing Gold-Standard Biomedical Datasets in Low- and Middle-Income Countries [0.03%]
从数据贫困到数据主权：在中低收入国家操作黄金标准的生物医学数据集
Shweta Rana,Pranshu Bhagat,Debnath Pal et al.
Shweta Rana et al.
AI is rapidly expanding in health care. However, there is a significant underrepresentation of low- and middle-income countries (LMICs) in datasets used to train AI applications. Current Food and Drug Administration (FDA)-approved AI tools ...
From Data Poverty to Data Sovereignty: Operationalizing Gold-Standard Biomedical Datasets in Low- and Middle-Income Countries [0.03%]
从数据贫困到数据主权：在中低收入国家操作金标准生物医学数据集
Shweta Rana,Pranshu Bhagat,Debnath Pal et al.
Shweta Rana et al.
AI is rapidly expanding in health care. However, there is a significant underrepresentation of low- and middle-income countries (LMICs) in datasets used to train AI applications. Current Food and Drug Administration (FDA)-approved AI tools ...
Toward Drift-Aware Multimodal Early Warning for Acute Exacerbations of Chronic Obstructive Pulmonary Disease [0.03%]
针对慢性阻塞性肺疾病急性加重的模态自适应早期预警系统研究
Haoran Li,Shuaihua Fan,Xiaojuan Li et al.
Haoran Li et al.
The clinical management of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) is increasingly moving from reactive treatment to proactive early warning. However, existing environmental forecasting approaches remain constr...
Point-of-Care Ultrasound Integrated With Teleconsultation for Rural Home-Based Medical Care: Pilot Implementation and Financial Analysis From Eastern Taiwan [0.03%]
整合远程咨询的床旁超声在农村居家医疗保健中的试点应用及财务分析——来自我国台湾东部地区的研究
Hung-Bin Tsai,Nin-Chieh Hsu,Sang Ju Yu et al.
Hung-Bin Tsai et al.
Background: Population aging and geographic health disparities challenge healthcare delivery in rural settings worldwide. Point-of-care ultrasound (PoCUS) combined with teleconsultation may enhance home-based medical care...
Effects of Social Media Use on Brain Dynamics in Young Male Adults: Multistage Concurrent Electroencephalography-Functional Magnetic Resonance Imaging Study [0.03%]
社交媒体使用对年轻男性成年人脑动力学的影响：多阶段同步脑电图-功能磁共振成像研究
Ke Bai,Bin-Jie Wu,Ze-Ze Wang et al.
Ke Bai et al.
Background: Noninvasive brain stimulation may alleviate social media addiction, but its efficacy requires accurate individual targeting and real-time brain monitoring. The neural mechanisms underlying the effects of socia...
Operationalizing One Digital Health and FAIR Data Principles for Disease Surveillance in a Low-Medium Income Country in Africa: Qualitative Study in the Democratic Republic of the Congo [0.03%]
非洲低中等收入国家疾病监测的数字健康操作和FAIR数据原则定量化研究：刚果民主共和国的质性研究
Harvey Basivikidi,Lefilso&#x;o Lambuku,Delphin Kayembe et al.
Harvey Basivikidi et al.
Background: Recent crises involving zoonotic diseases (Ebola, COVID-19, and Mpox) have highlighted the limitations of fragmented public health systems for the prevention and response to health emergencies at the internati...
Prediction of Blood Transfusion Need and Dose in Patients With Upper Gastrointestinal Bleeding: Retrospective Multicenter Prediction Model Study [0.03%]
预测上消化道出血患者的输血需求和剂量：回顾性多中心预测模型研究
Xiaoyu Li,Yuqin He,Mingyang Hou et al.
Xiaoyu Li et al.
Background: Transfusion thresholds in upper gastrointestinal bleeding are debated; hemoglobin cutoffs of 70-80 g/L are widely cited yet inconsistently applied. Common risk scores offer limited individualized guidance and ...
Multicenter Study
JMIR medical informatics. 2026 Aug 4:14:e83889. DOI:10.2196/83889 2026