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| http://dx.doi.org/10.1177/014107680609900308 | DOI Listing |
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Exploring Virtual Reality and Exercise Simulator Interventions in Patients With Attention Deficit Hyperactivity Disorder: Comprehensive Literature Review.
JMIR Serious Games
January 2025
School of Computing, Engineering and Mathematical Sciences, Optus Chair Digital Health, La Trobe University, Melbourne, Australia.
Background: This review explores virtual reality (VR) and exercise simulator-based interventions for individuals with attention-deficit/hyperactivity disorder (ADHD). Past research indicates that both VR and simulator-based interventions enhance cognitive functions, such as executive function and memory, though their impacts on attention vary.
Objective: This study aimed to contribute to the ongoing scientific discourse on integrating technology-driven interventions into the management and evaluation of ADHD.
Probing Critical States of Matter on a Digital Quantum Computer.
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Quantinuum, 303 S. Technology Court, Broomfield, Colorado 80021, USA.
Although quantum mechanics underpins the microscopic behavior of all materials, its effects are often obscured at the macroscopic level by thermal fluctuations. A notable exception is a zero-temperature phase transition, where scaling laws emerge entirely due to quantum correlations over a diverging length scale. The accurate description of such transitions is challenging for classical simulation methods of quantum systems, and is a natural application space for quantum simulation.
View Article and Find Full Text PDFAdvances in Coronary CT Angiography: Applications and Implications for Coronary Artery Disease.
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Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence RI.
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, necessitating advancements in diagnostic techniques. Coronary CT angiography (CCTA) has emerged as a pivotal non-invasive tool for evaluating coronary artery anatomy and detecting atherosclerotic plaque burden with high spatial resolution. This review explores the evolution of CCTA, highlighting its technological advancements, clinical applications, and challenges.
View Article and Find Full Text PDFArtificial intelligence-enhanced magnetic resonance imaging-based pre-operative staging in patients with endometrial cancer.
Int J Gynecol Cancer
January 2025
Institute of Image-Guided Surgery, IHU Strasbourg, France; University of Strasbourg, ICube, Laboratory of Engineering, Computer Science and Imaging, Department of Robotics, Imaging, Teledetection and Healthcare Technologies, CNRS, UMR, Strasbourg, France.
Objective: Evaluation of prognostic factors is crucial in patients with endometrial cancer for optimal treatment planning and prognosis assessment. This study proposes a deep learning pipeline for tumor and uterus segmentation from magnetic resonance imaging (MRI) images to predict deep myometrial invasion and cervical stroma invasion and thus assist clinicians in pre-operative workups.
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