IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jan 1, 2025
Machine learning methodologies have been profoundly researched in the realm of autism spectrum disorder (ASD) diagnosis. Nonetheless, owing to the ambiguity of ASD severity labels and individual differences in ASD severity, current fMRI-based methods...
Cerebral cortex (New York, N.Y. : 1991)
May 2, 2024
Autism spectrum disorder has been emerging as a growing public health threat. Early diagnosis of autism spectrum disorder is crucial for timely, effective intervention and treatment. However, conventional diagnosis methods based on communications and...
Cerebral cortex (New York, N.Y. : 1991)
Jan 31, 2024
Autism spectrum disorder is a complex neurodevelopmental condition with diverse genetic and brain involvement. Despite magnetic resonance imaging advances, autism spectrum disorder diagnosis and understanding its neurogenetic factors remain challengi...
Andes pediatrica : revista Chilena de pediatria
Oct 1, 2021
INTRODUCTION: Robot-assisted Therapy (RAT) can improve the behavior of children with Autism Spectrum Disorder (ASD) in a spontaneous and entertaining way. There are no previous experiences of this type of inter vention in our country.
Journal of autism and developmental disorders
Jul 1, 2021
A plethora of neuroimaging studies have focused on the discovery of potential neuroendophenotypes useful to understand the etiopathogenesis of autism and predict treatment response. Social robotics has recently been proposed as an effective tool to s...
Autism spectrum disorder (ASD) is a challenge in multiple ways. Just getting diagnosed can take months of visits to doctors and specialists. After the diagnosis, children are often put on long waiting lists to begin therapy, which itself consists of ...
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Socially assistive robots have shown potential benefits in therapy of child and elderly patients with social and cognitive deficits. In particular, for autistic children, humanoid robots could enhance engagement and attention, thanks to their simplif...
Journal of the American Medical Informatics Association : JAMIA
Aug 1, 2018
BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- intensive, and sometimes fall short in predictive value. In this work, we sought to apply Machine Learning (ML) to gold standard clinical data obtaine...
fMRI data decomposition techniques have advanced significantly from shallow models such as Independent Component Analysis (ICA) and Sparse Coding and Dictionary Learning (SCDL) to deep learning models such Deep Belief Networks (DBN) and Convolutional...
Journal of autism and developmental disorders
Oct 1, 2017
The aim of this study was to gain insight into how robots can be practically implemented into current education and therapy interventions for children with autism spectrum disorder (ASD). This qualitative study included focus groups and co-creation s...