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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...22 Hits 1 – 20 of 431 1 Family history of FXTAS is associated with age-related cognitive-linguistic decline among mothers with the FMR1 premutation. Klusek, Jessica; Fairchild, Amanda; Moser, Carly... In: Journal of neurodevelopmental disorders, vol 14, iss 1 (2022) BASE Show details 2 Providing a parent-administered outcome measure in a bilingual family of a father and a mother of two adolescents with ASD: brief report. Del Hoyo Soriano, Laura; Bullard, Lauren; Thurman, Angela John... In: Developmental neurorehabilitation, vol 25, iss 2 (2022) BASE Show details 3 Social Functioning as a Mediator between Developmental Language Disorder (DLD) and Emotional Problems in Adolescents. ... Forrest, Claire L; Gibson, Jenny; St Clair, Michelle C. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 4 Neurodevelopmental outcomes among extremely premature infants with linear growth restriction. Meyers, JM; Tan, S; Bell, EF. - : Springer Science and Business Media LLC, 2021 BASE Show details 5 Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders Devanna, P; Chen, X S; Ho, J. - 2021 BASE Show details 6 Social Functioning as a Mediator between Developmental Language Disorder (DLD) and Emotional Problems in Adolescents. Forrest, Claire L; Gibson, Jenny; St Clair, Michelle C. - : MDPI AG, 2021. : Int J Environ Res Public Health, 2021 BASE Show details 7 Expressive language development in adolescents with Down syndrome and fragile X syndrome: change over time and the role of family-related factors. Del Hoyo Soriano, Laura; Thurman, Angela John; Harvey, Danielle... In: Journal of neurodevelopmental disorders, vol 12, iss 1 (2020) BASE Show details 8 Utility of the global CDR® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium. Miyagawa, Toji; Brushaber, Danielle; Syrjanen, Jeremy... In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020) BASE Show details 9 Use of the CDR® plus NACC FTLD in mild FTLD: Data from the ARTFL/LEFFTDS consortium. Miyagawa, Toji; Brushaber, Danielle; Syrjanen, Jeremy... In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020) BASE Show details 10 Utility of the global CDR® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium. Miyagawa, Toji; Brushaber, Danielle; Syrjanen, Jeremy... In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020) BASE Show details 11 Use of the CDR® plus NACC FTLD in mild FTLD: Data from the ARTFL/LEFFTDS consortium. Miyagawa, Toji; Brushaber, Danielle; Syrjanen, Jeremy... In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020) BASE Show details 12 Screen time in 36-month-olds at increased likelihood for ASD and ADHD. Hill, Monique Moore; Gangi, Devon; Miller, Meghan. - : eScholarship, University of California, 2020 BASE Show details 13 Screen time in 36-month-olds at increased likelihood for ASD and ADHD. Hill, Monique Moore; Gangi, Devon; Miller, Meghan. - : eScholarship, University of California, 2020 BASE Show details 14 Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review. Graham, Sarah A; Lee, Ellen E; Jeste, Dilip V; Van Patten, Ryan; Twamley, Elizabeth W; Nebeker, Camille; Yamada, Yasunori; Kim, Ho-Cheol; Depp, Colin A. - : eScholarship, University of California, 2020 Abstract: Preserving cognition and mental capacity is critical to aging with autonomy. Early detection of pathological cognitive decline facilitates the greatest impact of restorative or preventative treatments. Artificial Intelligence (AI) in healthcare is the use of computational algorithms that mimic human cognitive functions to analyze complex medical data. AI technologies like machine learning (ML) support the integration of biological, psychological, and social factors when approaching diagnosis, prognosis, and treatment of disease. This paper serves to acquaint clinicians and other stakeholders with the use, benefits, and limitations of AI for predicting, diagnosing, and classifying mild and major neurocognitive impairments, by providing a conceptual overview of this topic with emphasis on the features explored and AI techniques employed. We present studies that fell into six categories of features used for these purposes: (1) sociodemographics; (2) clinical and psychometric assessments; (3) neuroimaging and neurophysiology; (4) electronic health records and claims; (5) novel assessments (e.g., sensors for digital data); and (6) genomics/other omics. For each category we provide examples of AI approaches, including supervised and unsupervised ML, deep learning, and natural language processing. AI technology, still nascent in healthcare, has great potential to transform the way we diagnose and treat patients with neurocognitive disorders. Keyword: 4.1 Discovery and preclinical testing of markers and technologies; 80 and over; Aged; Aging; Algorithms; Artificial Intelligence; Basic Behavioral and Social Science; Behavioral and Social Science; Brain Disorders; Clinical Research; Cognitive Dysfunction; Data Interpretation; Dementia; Electronic Health Records; Genomics; Humans; Machine Learning; Medical and Health Sciences; Mental Health; Mild cognitive impairment; Natural Language Processing; Neurosciences; Psychiatry; Psychology and Cognitive Sciences; Sensors; Statistical URL: https://escholarship.org/uc/item/21q1z3qm BASE Hide details 15 A Distinction Between Linguistic and Social Pragmatics Helps the Precise Characterization of Pragmatic Challenges in Children With Autism Spectrum Disorders and Developmental Language Disorder. ... Andrés-Roqueta, Clara; Katsos, Napoleon. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 16 Health comorbidities and cognitive abilities across the lifespan in Down syndrome. ... Startin, Carla M; D'Souza, Hana; Ball, George. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 17 Play and prosociality are associated with fewer externalizing problems in children with developmental language disorder: The role of early language and communication environment. ... Toseeb, Umar; Gibson, Jenny; Newbury, Dianne F. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 18 A Cross-Lagged Analysis of Emotion Regulation, Peer Problems, and Emotional Problems in Children With and Without Early Language Difficulties: Evidence From the Millennium Cohort Study. ... Forrest, Claire L; Gibson, Jenny; Halligan, Sarah L. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 19 Novel word learning deficits in infants at family risk for dyslexia. ... Kalashnikova, Marina; Goswami, Usha; Burnham, Denis. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 20 A Distinction Between Linguistic and Social Pragmatics Helps the Precise Characterization of Pragmatic Challenges in Children With Autism Spectrum Disorders and Developmental Language Disorder. Andrés-Roqueta, Clara; Katsos, Napoleon. - : American Speech Language Hearing Association, 2020. : J Speech Lang Hear Res, 2020 BASE Show details Page: 1 2 3 4 5...22

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