AIMC Topic: Autism Spectrum Disorder

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Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders.

Science robotics
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and personalized therapeutic interventions for children with autism spectrum disorders (ASD). However, human-robot interaction (HRI) methods are still limited in...

A Robot-Based Play-Drama Intervention May Improve the Joint Attention and Functional Play Behaviors of Chinese-Speaking Preschoolers with Autism Spectrum Disorder: A Pilot Study.

Journal of autism and developmental disorders
Children with autism spectrum disorder (ASD) have deficits in joint attention and play behaviors. We examined whether a robot-based play-drama intervention would promote these skills. Chinese-speaking preschool children were randomly assigned to an i...

[Autism spectrum disorder biomarkers based on biosignals, virtual reality and artificial intelligence].

Medicina
It has been observed that the stratification of Autism Spectrum Disorders (ASD) generated by the current scales is not effective for the personalization of early treatments. The clinical evaluation of ASD requires its consideration as a continuum of ...

Preliminary Test of the Potential of Contact With Dogs to Elicit Spontaneous Imitation in Children and Adults With Severe Autism Spectrum Disorder.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association
IMPORTANCE: Finding strategies to enhance imitation skills in people with autism spectrum disorder (ASD) is of major clinical relevance.

Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.

Journal of digital imaging
Statistics show that the risk of autism spectrum disorder (ASD) is increasing in the world. Early diagnosis is most important factor in treatment of ASD. Thus far, the childhood diagnosis of ASD has been done based on clinical interviews and behavior...

Machine learning approach to identify a resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorder.

Brain imaging and behavior
Endophenotype refers to a measurable and heritable component between genetics and diagnosis, and the same endophenotype is present in both individuals with a diagnosis and their unaffected siblings. Determination of the neural correlates of an endoph...

Teaching Digital, Block-Based Coding of Robots to High School Students with Autism Spectrum Disorder and Challenging Behavior.

Journal of autism and developmental disorders
The use of robots to teach students with autism spectrum disorder communication skills has basis in the literature; however, research investigating the effects of teaching coding or programming of robotics to promote learning in STEM to this populati...

[Current Status of Robotic Research for Individuals with Autism Spectrum Disorders].

Brain and nerve = Shinkei kenkyu no shinpo
Individuals with autism spectrum disorders (ASD) can face lifelong challenges. There are a variety of therapeutic and educational approaches, any of which may have educational benefits for some but not all individuals with ASD. The latest progress in...

A Machine Learning Strategy for Autism Screening in Toddlers.

Journal of developmental and behavioral pediatrics : JDBP
OBJECTIVE: Autism spectrum disorder (ASD) screening can improve prognosis via early diagnosis and intervention, but lack of time and training can deter pediatric screening. The Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R) is a widely...