AIMC Topic: Autism Spectrum Disorder

Clear Filters Showing 311 to 320 of 366 articles

Age-Specific Diagnostic Classification of ASD Using Deep Learning Approaches.

Studies in health technology and informatics
Autism Spectrum Disorder (ASD) is a highly heterogeneous condition, due to high variance in its etiology, comorbidity, pathogenesis, severity, genetics, and brain functional connectivity (FC). This makes it devoid of any robust universal biomarker. T...

A deep learning algorithm-based visual strategy intervention study for children with autism spectrum disorders - extraction and detection of children's behavioral features.

European review for medical and pharmacological sciences
OBJECTIVE: Autism spectrum disorder is a group of neurodevelopmental disorders. The disease's etiology is unclear, and there is no specific drug treatment for the core symptoms of autism spectrum disease. The study aims to explore effective intervent...

[Artificial neural networks as a psychiatric instrument].

Tijdschrift voor psychiatrie
BACKGROUND: Artificial intelligence (AI) has evolved enormously over the past decade and is increasingly being applied to a range of domains, including psychiatry. AI encompasses several modalities, including artificial neural networks (ANNs), referr...

Use of the PARO robot as a social mediator in a sample of children with neurodevelopmental disorders and typical development.

La Clinica terapeutica
BACKGROUND: Social robotics is a research field aimed at providing robots with skills related to social behavior and natural human interaction. Many studies have demonstrated the efficacy of these robots as socio-communicative mediators. Others have ...

Sharing Worlds: Design of a Real-Time Attention Classifier for Robotic Therapy of ASD Children.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Joint attention is the capacity of sharing attention between two agents and an aspect of the environment, through the use of different cues, namely gaze. This capacity is of paramount importance for social skills. People with Autism Spectrum Disorder...

Three Study Cases of Social Robotics in Autism Spectrum Disorder Treatment: Personalization and Usability of CASTOR Robot.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Social assistive robotics in autism has been implemented in studies and therapies to improve social skills and encourage children to comply with therapies. However, autism symptoms vary in their spectrum, which generates difficulties in implementing ...

Development of an Interactive Total Body Robot Enhanced Imitation Therapy for ASD children.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Autism is a neurodevelopmental disorder in which the available therapies target the improvement of social skills, in order to ensure a high quality of life for the child. The use of Social Assistive Robots offers new therapeutic possibilities in whic...

Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Machine learning methods, such as deep learning, show promising results in the medical domain. However, the lack of interpretability of these algorithms may hinder their applicability to medical decision support systems. This paper studies an interpr...