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  1. 3 days ago · According to the DSM-5 criteria, autistic individuals have differences in 3 areas of social communication and interaction: 1. Social-emotional reciprocity. Examples: Struggle with back-and-forth conversation. May seem blunt or rude without meaning to. Dislike for small talk.

  2. 2 days ago · Early Developmental Indicators. Some children may display signs of autism in early infancy, such as reduced eye contact, lack of response to their name, or indifference to caregivers. Others may initially develop typically but then experience a sudden loss of language skills or become withdrawn or aggressive [3].

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  4. 4 days ago · May 8, 2024. Unmasking the Autism Spectrum: A Closer Look at its Complexity. Unraveling the complexity of the autism spectrum. Discover the characteristics, diagnosis process, and interventions for ASD. Understanding Autism Spectrum.

  5. 5 days ago · Development and Purpose. The Autism Diagnostic Observation Schedule (ADOS) was developed in the 1980s initially as a tool for autism research, but it has since become the gold standard for a clinical diagnosis of autism spectrum disorder (ASD). It's designed to assess social interaction, communication, play, and imaginative use of materials for ...

  6. 4 days ago · In addition to a lack of the core autism flags like social/communication deficits, repetitive behaviors, and sensory issues, many associated signs and traits are also characteristic of not being on the spectrum: Strong eye contact and attention skills. Tendency to initiate social interactions, conversations, and friendships.

  7. 2 days ago · Sure, autism spectrum disorders are a group of related but variable disorders that present with three main difficulties in the children and the adults that we see and we say who meet criteria. The first criteria or the first kind of group of difficulties are difficulties with language.

  8. 5 days ago · MAY 13, 2021 — UTSA has established a wearables and artificial intelligence laboratory to provide precision treatment plans to improve learning among those diagnosed with autism spectrum disorder (ASD). Researchers will automate data collection and analysis of behavioral sensing data that can be used as an AI-augmented treatment specializer.

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