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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

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Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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Modeling in Therapy01:26

Modeling in Therapy

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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Advances in Autism: a bibliometric analysis.

Mehreen Chowdhury1, Murdoc Gould2, Latha Ganti1,2

  • 1University of Central Florida.

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|December 3, 2024
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Artificial Intelligence (AI) research for Autism Spectrum Disorder (ASD) shows significant global collaboration. The United States leads in AI-driven ASD treatment innovations, with machine learning and children as key research areas.

Keywords:
AutismBibliometric analysis

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Area of Science:

  • Bibliometric analysis of Artificial Intelligence (AI) applications in Autism Spectrum Disorder (ASD) research.
  • Global scientific output and citation impact in AI for ASD interventions.

Background:

  • Autism Spectrum Disorder (ASD) presents complex challenges requiring innovative therapeutic approaches.
  • The integration of Artificial Intelligence (AI) offers promising avenues for improving ASD diagnosis and treatment.

Purpose of the Study:

  • To comprehensively analyze global research trends in AI for ASD treatment from 2007 to 2023.
  • To identify leading countries, institutions, authors, and keywords in this research domain.

Main Methods:

  • Bibliometric analysis of scientific publications.
  • Data extraction on document counts, citations, countries, institutions, authors, and keywords.
  • Trend analysis of AI applications in ASD research.

Main Results:

  • The United States leads in publications (164) and citations (4988), followed by China and India.
  • Stanford University and McGill University are key contributing institutions.
  • Prominent keywords include 'Machine learning', 'Autism spectrum disorder', and 'Children'.

Conclusions:

  • A dynamic global research effort is underway to advance AI-driven ASD treatments.
  • Collaborative research and technological innovation are crucial for enhancing ASD intervention methodologies.
  • AI, particularly machine learning, shows potential for more efficient ASD diagnosis and personalized therapies.