Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1182/blood-2002-06-1674 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A novel generative multi-task representation learning approach for predicting postoperative complications in cardiac surgery patients.
J Am Med Inform Assoc
December 2024
AI for Health Institute, Washington University in St Louis, St Louis, MO 63130, United States.
Objective: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE) that uncovers intrinsic patterns via cross-task and cross-cohort presentation learning.
View Article and Find Full Text PDFSWI brush sign of cerebral parenchymal veins in central nervous system diseases.
Jpn J Radiol
December 2024
Department of Radiology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Brush sign (BS) was first reported as prominent hypointensity of deep medullary veins and subependymal veins on T2*-weighted images at 3 T MRI in patients with acute stroke in the territory of the middle cerebral artery. Subsequently, BS in central nervous system (CNS) diseases such as moyamoya disease, cerebral venous thrombosis, and Sturge-Weber syndrome was also described on susceptibility-weighted imaging (SWI), and the clinical implications of BS were discussed. The purpose of this review is to demonstrate BS on SWI in various CNS diseases and its mechanisms in the above-mentioned diseases.
View Article and Find Full Text PDFInnovative modified-net architecture: enhanced segmentation of deep vein thrombosis.
Sci Rep
December 2024
School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, Tamilnadu, India.
A new era for diagnosing and treating Deep Vein Thrombosis (DVT) relies on precise segmentation from medical images. Our research introduces a novel algorithm, the Modified-Net architecture, which integrates a broad spectrum of architectural components tailored to detect the intricate patterns and variances in DVT imaging data. Our work integrates advanced components such as dilated convolutions for larger receptive fields, spatial pyramid pooling for context, residual and inception blocks for multiscale feature extraction, and attention mechanisms for highlighting key features.
View Article and Find Full Text PDFRisk of venous thromboembolic complications in pregnant trauma patients: A matched cohort study.
World J Surg
December 2024
Division of Acute Care Surgery, University of Southern California, Los Angeles, California, USA.
Background: Trauma and pregnancy are both risk factors for venous thromboembolism (VTE). We hypothesized that pregnant blunt trauma patients would have a higher incidence of VTE complications compared with matched nonpregnant females.
Methods: We conducted a retrospective cohort study using National Trauma Data Bank data from 2017 to 2022.
Venous thromboembolism in transfer trauma patients: A global problem.
Surgery
December 2024
Dewitt Daughtry Family Department of Surgery, University of Miami Miller School of Medicine, and Ryder Trauma Center, Miami, FL.
Background: As air travel and immobility are risk factors for venous thromboembolism, we aimed to test the hypothesis that internationally transferred trauma patients have a high incidence of venous thromboembolism on arrival.
Methods: A prospectively maintained registry of all international transferred trauma patients who presented to our level I trauma center from January 2023 to June 2024 was retrospectively reviewed. Patients with either lower extremity venous duplex ultrasound or computed tomography scan of the chest with contrast on arrival were included.
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!