Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Which is the fastest and safest approach? A comparison of time and complications of transparotid and anteroparotid retromandibular approach in management of mandibular subcondylar fractures: A prospective randomized controlled trial.
J Stomatol Oral Maxillofac Surg
January 2025
Department of Oral and Maxillofacial Surgery, Mahatma Gandhi Missions Dental College and Hospital, Sector 01, Kamothe, Navi Mumbai, Maharashtra, 410209, India.
Introduction: Mandibular condylar fractures are among the most common facial fractures and its incidence has been rising since the past few decades. Although various approaches for management of mandibular condylar fractures have been described in literature there is a gap in the published literature when it comes to comparison of these approaches. There have only been a handful of studies which have compared use of Retromandibular Transparotid against Retromandibular anteroparotid approach in management of mandibular condylar fractures with conflicting results.
View Article and Find Full Text PDFTiMON: a real-time integrated monitor for improving the placement and wear of emergency tourniquets.
BMC Emerg Med
January 2025
Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, CNY149, 13th St, Charlestown, 02129, MA, USA.
Background: The use of emergency tourniquets among military personnel has helped to dramatically reduce battlefield deaths and has recently gained popularity in the civilian sector. Yet, even well-trained individuals can find it difficult to assess proper tourniquet application. Emergency tourniquets are typically deemed sufficiently tightened through cursory visual confirmation or pulse assessment.
View Article and Find Full Text PDFNovel Vascular Territory Mapping Algorithm as a Predictive Tool for Identification of Antegrade Flow in Middle Cerebral Artery Occlusion.
Stroke
February 2025
South Western Sydney Clinical School University of New South Wales, Department of Neurology Liverpool Hospital, Ingham Institute of Applied Medical Research, Australia (C.C., L.L., M.P.).
Background: Vascular territory mapping (VTM) software estimates which intracerebral vessel provides predominant arterial flow to a brain voxel. The presence of antegrade flow in the setting of acute middle cerebral artery (MCA) occlusion is associated with improved outcomes. We identify whether VTM software is a determinant of antegrade flow in patients with proximal MCA occlusion.
View Article and Find Full Text PDFEndovascular therapy for acute vertebrobasilar occlusion (VERITAS): a systematic review and individual patient data meta-analysis.
Lancet
January 2025
Department of Neurology, St Antonius Hospital, Nieuwegein, Netherlands. Electronic address:
Background: Trials of endovascular therapy for basilar artery occlusion, including vertebral occlusion extending into the basilar artery, have shown inconsistent results. We aimed to pool data to estimate safety and efficacy and to explore the benefit across pre-specified subgroups through individual patient data meta-analysis.
Methods: VERITAS was a systematic review and meta-analysis that pooled patient-level data from trials that recruited patients with vertebrobasilar ischaemic stroke who were randomly assigned to treatment with either endovascular therapy or standard medical treatment alone.
Enhancing sugarcane leaf disease classification through a novel hybrid shifted-vision transformer approach: technical insights and methodological advancements.
Environ Monit Assess
December 2024
Department of Chemistry, Easwari Engineering College, Chennai, Tamil Nadu, India.
Article Synopsis
- Sugarcane farming is highly organized in India, the second-largest producer, but is heavily impacted by diseases affecting crop yields.
- A new Hybrid Shifted-Vision Transformer model combines Vision Transformer architecture with advanced techniques to enhance the classification of sugarcane leaf diseases, capturing essential features at various scales.
- The model uses self-supervised learning and data augmentation to improve performance and address class imbalances, achieving a high accuracy of 98.5% in disease detection, which is vital for effective agricultural management.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!