Pernilla G Borggaard,Christian Kildegaard,Christian B Laursen et al.
Pernilla G Borggaard et al.
Background: Thoracic ultrasound (TUS) is integrated into clinical practice across various medical specialties to aid with diagnosis and procedural safety. Significant variability in training approaches and standards exist...
Diagnostic accuracy of ultrasound in assessing medial collateral ligament and medial meniscus injuries? A systematic review and meta-analysis [0.03%]
系统综述与meta分析：超声诊断内侧副韧带和内侧半月板损伤的准确性吗？
Melanie Potter,Anthony Smith
Melanie Potter
Background: Medial Collateral Ligament (MCL) and Medial Meniscus (MM) injuries are common medial knee pathologies. While MRI and arthroscopy are gold-standard diagnostic modalities, they are costly, invasive, and often de...
Guido Tavazzi,Stefano Avondo,Francesco Corradi
Guido Tavazzi
Patients supported with veno-arterial extracorporeal membrane oxygenation (VA-ECMO) may require left ventricular (LV) unloading to prevent pulmonary congestion and adverse hemodynamic interactions. However, defining the need and timing of u...
Prediction of post-extubation stridor using ultrasound measurement of subglottic airway diameter [0.03%]
气管插管拔管后声门下气道直径超声测量预测喉鸣的效果
Nichanan Jongthitinon,Kantara Saelim,Supika Kritsanepaiboon et al.
Nichanan Jongthitinon et al.
Background: Post-extubation stridor (PES) is a common complication in children in the pediatric intensive care unit (PICU). Despite the evaluation of various predictive tests, no single method has consistently demonstrate...
SPOT THE BOT: A comparative quality assessment of AI-generated written instructions for lung ultrasound training [0.03%]
比较评估人工智能生成的肺部超声训练书面说明的质量
Adrian Wong,Nurul Liana Roslan,Serene Ho et al.
Adrian Wong et al.
Background: The rapid proliferation of artificial intelligence (AI) in medical education has outpaced the development of quality assurance methods for AI-generated content. This study provides the first systematic evaluat...
Quality evaluation of ultrasound images for fetal crown-rump length measurement at 11 to 14 weeks' gestation: A fusion model can be interpreted using SHAP method [0.03%]
基于SHAP方法解释的融合模型在11-14周胎儿顶臀长超声测量图像质量评估中的应用研究
Lu Liu,Ting Wang,Yanping Li et al.
Lu Liu et al.
Objectives: To explore a fusion model designed for the quality evaluation of ultrasound images utilized in fetal crown-rump length (CRL) measurement, and to use SHapley Additive exPlanations (SHAP) method to elucidate the...
The role of paediatric point-of-care ultrasound in Spain: Present status and future perspectives [0.03%]
西班牙儿科即时超声的角色：现状和未来展望
Luis Ortiz-González,Luis Ortiz-Peces,Carlos Ortiz-Peces
Luis Ortiz-González
Introduction: The use of ultrasound by physicians not specialized in diagnostic radiology, as an adjunct to physical examination, has been termed "point-of-care ultrasound". In the last decade, this technique has been imp...
Towards reduced ultrasound localization microscopy acquisition times by uncoupling a bi-disperse microbubble population [0.03%]
通过解耦双分散微泡群体缩短超声定位显微镜采集时间
Giulia Tuccio,Lisa Te Winkel,Corinne Bruggeman et al.
Giulia Tuccio et al.
Ultrasound Localization Microscopy (ULM) is a milestone in the medical vascular imaging context, enabling the precise characterization of micro-vascular structures using ultrasound imaging. By accurately localizing contrast microbubbles (MB...
Description of an independently developed quality assessment tool to meet emergency department credentialing and Emergency Ultrasound Fellowship Accreditation Council guidelines [0.03%]
一种独立开发的质量评估工具的描述，该工具符合急诊科认证和应急超声医学专科委员会认证指南的要求
Michael Vu,Richard Gordon,Sara Miller et al.
Michael Vu et al.
Background: Quality assurance (QA) review is essential to any point-of-care ultrasound (POCUS) program that credentials emergency clinicians or hosts an Emergency Ultrasound Fellowship Accreditation Council (EUFAC) accred...
Dynamic right diaphragmatic herniation revealed by point-of-care ultrasound in hepatic hydrothorax [0.03%]
即时超声在肝性腹水并膈疝中的应用
João Augusto Kops Simon,Gabriel Beilfuss Rieth,Tiago Severo Garcia et al.
João Augusto Kops Simon et al.