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Updated: Jan 7, 2026

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
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小児の自閉スペクトラム症の人工知能駆動診断

Nizar Alsharif1,2, Abdullah H Al-Nefaie1,3, Sultan Ahmad4,5

  • 1King Salman Center for Disability Research, Riyadh, Saudi Arabia.

Frontiers in medicine
|December 25, 2025
PubMed
まとめ

本研究は、K近傍法（KNN）と説明可能な人工知能（XAI）を用いてサウジアラビアとエジプトにおける自閉スペクトラム症（ASD）の早期診断を向上させ、高精度を達成した。本研究の結果は、ASDの検出と治療を改善するための医療システムの向上を支持する。

キーワード:
人工知能自閉スペクトラム症診断説明可能な人工知能機械学習

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Autism Spectrum Disorder01:19

Autism Spectrum Disorder

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

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
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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