Learning Disabilities - AI Medical Compendium

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Personalized deep neural networks reveal mechanisms of math learning disabilities in children.

Science advances Jun 6, 2025

Learning disabilities affect a substantial proportion of children worldwide, with far-reaching consequences for their academic, professional, and personal lives. Here we develop digital twins-biologically plausible personalized deep neural networks (...

Humans Neural Networks, Computer Learning Female Male Deep Learning Child Mathematics Learning Disabilities

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Attributional patterns toward students with and without learning disabilities: Artificial intelligence models vs. trainee teachers.

Research in developmental disabilities Mar 15, 2025

This study explored differences in the attributional patterns of four advanced artificial intelligence (AI) Large Language Models (LLMs): ChatGPT3.5, ChatGPT4, Claude, and Gemini) by focusing on feedback, frustration, sympathy, and expectations of fu...

Humans Artificial Intelligence Female Adult Male Students China Child Australia School Teachers Learning Disabilities

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Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach.

Molecular psychiatry Dec 19, 2022

Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous disorder with a high degree of psychiatric and physical comorbidity, which complicates its diagnosis in childhood and adolescence. We analyzed registry data from 238,696 persons born ...

Humans Sweden Male Comorbidity Deep Learning Adolescent Attention Deficit Disorder with Hyperactivity Learning Disabilities

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Dysgraphia disorder forecasting and classification technique using intelligent deep learning approaches.

Progress in neuro-psychopharmacology & biological psychiatry Sep 28, 2022

Writing abilities are impacted by dysgraphia, a condition of learning disability. It might be challenging to diagnose dysgraphia at an initial point of a child's upbringing. Problematic abilities linked to Dysgraphia difficulties that is utilized in ...

Humans Machine Learning Deep Learning Child Handwriting Agraphia Learning Disabilities

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AIMC Topic: Learning Disabilities

Personalized deep neural networks reveal mechanisms of math learning disabilities in children.

Attributional patterns toward students with and without learning disabilities: Artificial intelligence models vs. trainee teachers.

Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach.

Dysgraphia disorder forecasting and classification technique using intelligent deep learning approaches.

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AIMC Topic: Learning Disabilities

Personalized deep neural networks reveal mechanisms of math learning disabilities in children.

Attributional patterns toward students with and without learning disabilities: Artificial intelligence models vs. trainee teachers.

Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach.

Dysgraphia disorder forecasting and classification technique using intelligent deep learning approaches.

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