Background And Objectives: Acute aortic dissection (AD) is a life-threatening condition in which early detection can significantly improve patient outcomes and survival. This study evaluates the clinical benefits of integrating a deep learning (DL)-based application for the automated detection and prioritization of AD on chest CT angiographies (CTAs) with a focus on the reduction in the scan-to-assessment time (STAT) and interpretation time (IT).
Materials And Methods: This retrospective Multi-Reader Multi-Case (MRMC) study compared AD detection with and without artificial intelligence (AI) assistance.
Introduction: New anti-vascular endothelial growth factor (VEGF) treatments are emerging for the treatment of diabetic macular edema (DME)/neovascular age-related macular degeneration (nAMD). This study aimed to explore the treatment attributes patients find important when deciding on treatment options.
Methods: This noninterventional survey study assessed treatment preferences through a discrete choice experiment (DCE) among patients with DME/nAMD in the USA, Canada, France, Italy, Spain, and the UK.
To review the evolution of terminology describing the classification of lesions in neovascular age-related macular degeneration (nAMD) based on retinal imaging technologies. A review of the current and historical literature on imaging-guided classification of neovascularization in nAMD was performed. Imaging-guided classification of neovascularization in nAMD facilitates understanding of the pathological mechanisms and disease progression.
View Article and Find Full Text PDFBackground: Although recent studies have increasingly focused on examining the potential benefits of creatine supplementation to improve performance in swimming events, the impact of creatine supplementation on swimming performance remains a topic of debate and controversy. A comprehensive meta-analytical review was undertaken to evaluate the effects of creatine supplementation on the performance, physiological response, and body composition among swimmers.
Methods: The research methodology adhered strictly to the guidelines outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).
Purpose: Humanoid robot intervention programmes for children with autism spectrum disorder (ASD) are being developed rapidly. This study aimed to develop and test a robotic intervention framework for children with ASD to ensure best practice.
Methods: In Phase I of this study, an initial framework was built based on a scoping review.