Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1542/hpeds.2023-007459 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
International benchmarking of stage at diagnosis for six childhood solid tumours (the BENCHISTA project): a population-based, retrospective cohort study.
Lancet Child Adolesc Health
February 2025
Developmental Biology and Cancer Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK. Electronic address:
Background: International variation in childhood cancer survival might be explained by differences in stage at diagnosis, among other factors. As part of the BENCHISTA project, we aimed to assess geographical variation in tumour stage at diagnosis through the application, by population-based cancer registries working with clinicians, of the international consensus Toronto Childhood Cancer Stage Guidelines.
Methods: This population-based, retrospective cohort study involved 67 cancer registries from 23 European countries, Australia, Brazil, Japan, and Canada.
Performance of the 2023 diagnostic criteria for MOGAD: real-world application in a Chinese multicenter cohort of pediatric and adult patients.
BMC Med
January 2025
Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Background: The clinical phenotypes of myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) have been found to overlap with several other diseases. The new criteria proposed in 2023 were designed to better identify the disease but require validation across various populations to ascertain its clinical utility. We aimed to investigate the diagnostic performance in phenotypically diverse patients.
View Article and Find Full Text PDFDenseSeg: joint learning for semantic segmentation and landmark detection using dense image-to-shape representation.
Int J Comput Assist Radiol Surg
January 2025
Medical Informatics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.
Purpose: Semantic segmentation and landmark detection are fundamental tasks of medical image processing, facilitating further analysis of anatomical objects. Although deep learning-based pixel-wise classification has set a new-state-of-the-art for segmentation, it falls short in landmark detection, a strength of shape-based approaches.
Methods: In this work, we propose a dense image-to-shape representation that enables the joint learning of landmarks and semantic segmentation by employing a fully convolutional architecture.
Optimising investigative pathways in military medicine: operational impact of a military cardiopulmonary exercise testing clinic.
BMJ Mil Health
January 2025
Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham, UK
Introduction: Abnormal cardiorespiratory symptoms and investigative findings in service personnel typically result in prolonged investigation and occupational restriction. This analysis aimed to assess the impact of the xford ilitary Cardiopulmonary xercise Testing linic (OMEC), which investigates such symptoms and findings, on occupational recommendations.
Methods: A service evaluation was conducted on all OMEC attendances over a 5-year period.
Purpose: Several studies have demonstrated that female physicians within specific specialties are compensated less than their male counterparts. Academic institutions seek to address this using Association of American Medical Colleges (AAMC) data for benchmarking and starting salary standardization. However, few studies address whether there is an association between percentage of women across specialties and mean salary for each specialty.
View Article and Find Full Text PDFWant 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!