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DICCR: Double-gated intervention and confounder causal reasoning for vision-language navigation.
Neural Netw
December 2024
School of Computer and Electronic Information, Guangxi University, University Road, Nanning, 530004, Guangxi, China. Electronic address:
Vision-language navigation (VLN) is a challenging task that requires agents to capture the correlation between different modalities from redundant information according to instructions, and then make sequential decisions on visual scenes and text instructions in the action space. Recent research has focused on extracting visual features and enhancing text knowledge, ignoring the potential bias in multi-modal data and the problem of spurious correlations between vision and text. Therefore, this paper studies the relationship structure between multi-modal data from the perspective of causality and weakens the potential correlation between different modalities through cross-modal causality reasoning.
View Article and Find Full Text PDFThe journey to the front door; what pathways do paediatric patients take prior to attending the emergency department?
Emerg Med J
January 2025
Bristol Royal Hospital for Children, Paediatric Emergency Department, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
Association Between Digital Front Doors and Social Care Use for Community-Dwelling Adults in England: Cross-Sectional Study.
J Med Internet Res
January 2025
Personal Social Services Research Unit, University of Kent, Canterbury, United Kingdom.
Background: Requests for public social care support can be made through an online portal. These digital "front doors" can help people navigate complex social care systems and access services. These systems can be set up in different ways, but there is little evidence about the impact of alternative arrangements.
View Article and Find Full Text PDFVision transformer-equipped Convolutional Neural Networks for automated Alzheimer's disease diagnosis using 3D MRI scans.
Front Neurol
December 2024
Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Alzheimer's disease (AD) is a neurodegenerative ailment that is becoming increasingly common, making it a major worldwide health concern. Effective care depends on an early and correct diagnosis, but traditional diagnostic techniques are frequently constrained by subjectivity and expensive costs. This study proposes a novel Vision Transformer-equipped Convolutional Neural Networks (VECNN) that uses three-dimensional magnetic resonance imaging to improve diagnosis accuracy.
View Article and Find Full Text PDFClinical characteristics and quality care indicators of pediatric stroke in a referral center of Colombia: eleven-year experience (pediastroke).
Front Neurol
December 2024
Servicio de Neurología, Fundación Valle del Lili, Cali, Colombia.
Objective: This study aims to describe clinical variables and quality care indicators in pediatric stroke management at a high-complexity pediatric care center in Latin America.
Methods: Retrospective study of patients with stroke, aged 2-18 years from 2011 to 2021. The principal outcomes were the mRs and mortality.
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