Interactive control of flexible guidewires using hand model in a VR-based vascular interventional surgery simulation system [0.03%]
基于VR的血管介入手术仿真系统中使用手模型交互控制柔性导丝的方法
Pan Li,Fangting Ding,Xinxin Zhang et al.
Pan Li et al.
Objective: Interactions in traditional virtual surgery simulation systems primarily involve rigid instruments and hands, with limited attention to interactions between hands and flexible instruments. This often results in...
The digital health paradox in Primary Care: A cluster analysis of user profiles and equity determinants [0.03%]
初级保健中的数字健康悖论：用户配置文件和公平决定因素的集群分析
Andrea Muslera García,Alba Pérez Fernández,Paula Fraile García et al.
Andrea Muslera García et al.
Background: Digital health platforms are intended to democratize healthcare, yet they often encounter the "digital health paradox," where tools primarily benefit those with high digital literacy. In the Principality of As...
Corrigendum to "Artificial intelligence-enhanced nurse navigation for monitoring and care of long COVID" [Int. J. Med. Inform., 219 (2026)/106557] [0.03%]
关于“用于长期新冠肺炎监测和护理的人工智能增强型护士导航”的勘误(国际医学信息杂志，2023年，第148卷，106557)
Ana Paula Bandeira Barboza,Renata Luciria Monteiro,Alessandra Luna Muschi et al.
Ana Paula Bandeira Barboza et al.
Clinician-perceived clinical accuracy and guideline alignment of ChatGPT responses to patient questions on HPV and CIN: a two-year comparative evaluation [0.03%]
临床医生感知的ChatGPT回复与临床准确性及指南一致性：针对人乳头瘤病毒和宫颈上皮内病变患者问题的两年比较评估
L A de Ridder,P L M Zusterzeel,A J Krüse
L A de Ridder
Background: Large language models (LLMs) such as ChatGPT are increasingly used by patients to obtain medical information, particularly for human papillomavirus (HPV) infection and cervical intraepithelial neoplasia (CIN),...
Can ChatGPT match physicians in the diagnosis, triage, management and prevention of infectious diseases? A scoping review [0.03%]
ChatGPT在传染病的诊断、分诊、管理和预防方面能否与医师匹敌？一项范围综述
Shikha Kukreti,Ssu-Yi Liu,Pei-Fang Lu et al.
Shikha Kukreti et al.
Introduction: The global burden of infectious diseases (ID), combined with a shortage of ID specialists, continues to challenge healthcare systems worldwide. Artificial intelligence (AI), particularly large language model...
Development and internal-external validation of a nomogram model for lower extremity deep vein thrombosis in patients after ruptured intracranial aneurysm surgery based on dynamic D-dimer trajectory [0.03%]
基于D-二聚体动态轨迹的颅内动脉瘤性蛛网膜下腔出血术后下肢深静脉血栓形成的列线图模型及其验证
Jiansong Yu,Ting Guo,Wei Hu et al.
Jiansong Yu et al.
Objective: This study aimed to develop and validate a nomogram model for predicting lower extremity deep venous thrombosis (LEDVT) after ruptured intracranial aneurysm (RIA) surgery based on dynamic D-dimer trajectory, to...
Deep learning models accurately classify Parkinson's disease from eye-tracking fixation data [0.03%]
基于眼睛追踪固定数据的深度学习模型可准确诊断帕金森病
Gonzalo Uribarri,Simon Ekman von Huth,Josefine Waldthaler et al.
Gonzalo Uribarri et al.
Eye-tracking is an accessible, non-invasive technology that provides information on motor and cognitive function and is therefore relevant for studying neurodegenerative diseases. Saccade experiments, in particular, have proven useful in th...
Age-stratified machine learning using de-identified clinical and transcriptomic data for pediatric appendicitis [0.03%]
基于脱敏后的临床和转录组数据的年龄分层机器学习在儿童急性阑尾炎中的应用
Sunusi Bala Abdullahi
Sunusi Bala Abdullahi
Background: Pediatric appendicitis triage remains clinically challenging, as standard single-model diagnostic scores yield moderately discriminative performance. ...
Environmental exposure-integrated risk stratification for adverse outcomes after acute coronary syndrome: a multi-cohort machine learning approach [0.03%]
急性冠脉综合征后不利预后的环境暴露综合风险分层：多队列机器学习方法
Mingyue Zhang,Jingwei Zhang,Yushan Cui et al.
Mingyue Zhang et al.
Background: Acute coronary syndrome (ACS) causes substantial post-discharge mortality. Ambient air pollution and meteorological conditions are associated with recurrent cardiovascular events, but existing clinical risk sc...
Artificial intelligence enabled social robotic interventions (PARO) in Australian dementia care: A systematic review and meta-analysis [0.03%]
基于人工智能的社交机器人干预（PARO）在澳大利亚痴呆症护理中的应用：系统回顾和元分析
Syed Haris Omar,Ahsan Ghani,Adla Sanober et al.
Syed Haris Omar et al.
Background: Although there is a growing body of research indicating that Personal Robot/Social Robot could be used in various aspects of care for individuals with dementia, little is known about how well these types of in...