AIMC Topic: Autistic Disorder
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Capsule DenseNet++: Enhanced autism detection framework with deep learning and reinforcement learning-based lifestyle recommendation.
Computers in biology and medicine
Mar 21, 2025
Autism Spectrum Disorder (ASD) is a complex neurological condition that impairs the ability to interact, communicate, and behave. It is becoming increasingly prevalent worldwide, with an increase in the number of young children diagnosed with ASD in ...
A randomized controlled trial of the effects of dog-assisted versus robot dog-assisted therapy for children with autism or Down syndrome.
PloS one
Mar 19, 2025
Research with controlled or crossover designs in animal-assisted therapy have largely used control groups receiving no treatment or treatment as usual, which can potentially inflate the effects of these interventions. It is therefore not always clear...
Protocol for socioecological study of autism, suicide risk, and mental health care: Integrating machine learning and community consultation for suicide prevention.
PloS one
Mar 19, 2025
INTRODUCTION: Autistic people experience higher risk of suicidal ideation (SI) and suicide attempts (SA) compared to non-autistic people, yet there is limited understanding of complex, multilevel factors that drive this disparity. Further, determinan...
Female autism categorization using CNN based NeuroNet57 and ant colony optimization.
Computers in biology and medicine
Mar 7, 2025
Autism identification and classification using biomedical medical image analysis has advanced recently. Research shows autistic females have different phenotypic and age-related brain variations than males. Gender-specific hormones and genes affect a...
Differentiating Functional Connectivity Patterns in ADHD and Autism Among the Young People: A Machine Learning Solution.
Journal of attention disorders
Feb 10, 2025
OBJECTIVE: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of i...
Automated segmentation of child-clinician speech in naturalistic clinical contexts.
Research in developmental disabilities
Jan 18, 2025
BACKGROUND: Computational approaches hold significant promise for enhancing diagnosis and therapy in child and adolescent clinical practice. Clinical procedures heavily depend n vocal exchanges and interpersonal dynamics conveyed through speech. Rese...
Pre-trained artificial intelligence language model represents pragmatic language variability central to autism and genetically related phenotypes.
Autism : the international journal of research and practice
Dec 20, 2024
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication c...
Multimodal autism detection: Deep hybrid model with improved feature level fusion.
Computer methods and programs in biomedicine
Dec 18, 2024
OBJECTIVE: Social communication difficulties are a characteristic of autism spectrum disorder (ASD), a neurodevelopmental condition. The earlier method of diagnosing autism largely relied on error-prone behavioral observation of symptoms. More intell...
A pilot evaluation of school-based LEGO® robotics therapy for autistic students.
Disability and rehabilitation. Assistive technology
Dec 5, 2024
There is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic children develop their communication and social skills. LEGO® robotics therapy - which uses the principles of LEGO® therapy applied to LEGO® robotics - m...
Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks.
Sensors (Basel, Switzerland)
Dec 5, 2024
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by differences in social communication and repetitive behaviors, often associated with atypical visual attention patterns. In this paper, the Gaze-Based Autism Classifier ...
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