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Family history of FXTAS is associated with age-related cognitive-linguistic decline among mothers with the FMR1 premutation.
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In: Journal of neurodevelopmental disorders, vol 14, iss 1 (2022)
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Providing a parent-administered outcome measure in a bilingual family of a father and a mother of two adolescents with ASD: brief report.
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In: Developmental neurorehabilitation, vol 25, iss 2 (2022)
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Psychic Life-Biological Molecule Bidirectional Relationship: Pathways, Mechanisms, and Consequences for Medical and Psychological Sciences—A Narrative Review
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In: International Journal of Molecular Sciences; Volume 23; Issue 7; Pages: 3932 (2022)
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Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1192 (2022)
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Abstract:
Mental disorders (MDs) with onset in childhood or adolescence include neurodevelopmental disorders (NDDs) (intellectual disability and specific learning disabilities, such as dyslexia, attention deficit disorder (ADHD), and autism spectrum disorders (ASD)), as well as a broad range of mental health disorders (MHDs), including anxiety, depressive, stress-related and psychotic disorders. There is a high co-morbidity of NDDs and MHDs. Globally, there have been dramatic increases in the diagnosis of childhood-onset mental disorders, with a 2- to 3-fold rise in prevalence for several MHDs in the US over the past 20 years. Depending on the type of MD, children often grapple with social and communication deficits and difficulties adapting to changes in their environment, which can impact their ability to learn effectively. To improve outcomes for children, it is important to provide timely and effective interventions. This review summarises the range and effectiveness of AI-assisted tools, developed using machine learning models, which have been applied to address learning challenges in students with a range of NDDs. Our review summarises the evidence that AI tools can be successfully used to improve social interaction and supportive education. Based on the limitations of existing AI tools, we provide recommendations for the development of future AI tools with a focus on providing personalised learning for individuals with NDDs.
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Keyword:
artificial intelligence; machine learning; mental disorders; neurodevelopmental disorders; personalisation
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URL: https://doi.org/10.3390/ijerph19031192
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Neural dynamics of semantic categorization in semantic variant of primary progressive aphasia.
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What Do We Mean by Behavioral Disinhibition in Frontotemporal Dementia?
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Development of thalamus mediates paternal age effect on offspring reading: A preliminary investigation.
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In: Human brain mapping, vol 42, iss 14 (2021)
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Providing a parent-administered outcome measure in a bilingual family of a father and a mother of two adolescents with ASD: brief report.
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Pre-treatment clinical and gene expression patterns predict developmental change in early intervention in autism.
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In: Molecular psychiatry, vol 26, iss 12 (2021)
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A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study.
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In: Journal of medical Internet research, vol 23, iss 3 (2021)
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A systematic review of cognitive behavior therapy and dialectical behavior therapy for adolescent eating disorders.
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In: Journal of eating disorders, vol 9, iss 1 (2021)
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Concurrent Associations between Expressive Language Ability and Independence in Adolescents and Adults with Fragile X Syndrome.
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In: Brain sciences, vol 11, iss 9 (2021)
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Concurrent Associations between Expressive Language Ability and Independence in Adolescents and Adults with Fragile X Syndrome.
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In: Brain sciences, vol 11, iss 9 (2021)
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Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.
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In: Biological psychiatry. Cognitive neuroscience and neuroimaging, vol 6, iss 9 (2021)
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Characteristics and Impacts of Community Aphasia Group Facilitation - A Systematic Scoping Review ...
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Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders
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Dialectical Behavior Therapy for Dual Diagnosis: Treating Adolescent Substance Use Disorder and Co-Occurring Mood Disorders
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In: Senior Honors Projects (2021)
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