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Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder whose neuroimaging-based diagnosis remains challenging due to complex time-varying disruptions in brain connectivity. Functional MRI (fMRI) provides…

Machine Learning · Computer Science 2026-03-30 Qurat Ul Ain , Alptekin Temizel , Soyiba Jawed

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that is challenging to diagnose and requires advanced approaches for reliable and transparent identification and classification. It is characterized by a…

Machine Learning · Computer Science 2026-02-04 Abdul Rehman , Ilona Heldal , Jerry Chun-Wei Lin

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent mental health condition affecting both children and adults, yet it remains severely underdiagnosed. Recent advances in artificial intelligence, particularly in Natural Language…

Computation and Language · Computer Science 2024-11-26 D. Wiechmann , E. Kempa , E. Kerz , Y. Qiao

This paper introduces an innovative approach to Attention-deficit/hyperactivity disorder (ADHD) diagnosis by employing deep learning (DL) techniques on electroencephalography (EEG) signals. This method addresses the limitations of current…

Computers and Society · Computer Science 2024-12-04 Medha Pappula , Syed Muhammad Anwar

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by varied social cognitive challenges and repetitive behavioral patterns. Identifying reliable brain imaging-based biomarkers for ASD has been a persistent…

Machine Learning · Computer Science 2024-09-30 Mehul Arora , Chirag Shantilal Jain , Lalith Bharadwaj Baru , Kamalaker Dadi , Bapi Raju Surampudi

Mental disorders represent a critical global health challenge, and social media is increasingly viewed as a vital resource for real-time digital phenotyping and intervention. To leverage this data, large language models (LLMs) have been…

Computation and Language · Computer Science 2025-12-23 Zhuohan Ge , Darian Li , Yubo Wang , Nicole Hu , Xinyi Zhu , Haoyang Li , Xin Zhang , Mingtao Zhang , Shihao Qi , Yuming Xu , Han Shi , Chen Jason Zhang , Qing Li

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental condition characterized by inattention, hyperactivity, and impulsivity, which can significantly impact an individual's daily functioning and quality of life.…

Artificial Intelligence · Computer Science 2024-06-24 Santiago Berrezueta-Guzman , Mohanad Kandil , María-Luisa Martín-Ruiz , Iván Pau-de-la-Cruz , Stephan Krusche

Attention Deficit Hyperactivity Disorder (ADHD) causes significant impairment in various domains. Early diagnosis of ADHD and treatment could significantly improve the quality of life and functioning. Recently, machine learning methods have…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Yichun Li , Yuxing Yang , Syed Nohsen Naqvi

Attention Deficit Hyperactivity Disorder (ADHD) is a chronic mental and behavioral disorder that interferes with everyday activities and has three core symptoms: inattention, hyperactivity, and impulsivity. To help in reducing the effects…

Human-Computer Interaction · Computer Science 2020-05-21 Fatemah Husain

Attention Deficit Hyperactivity Disorder (ADHD) is a common brain disorder in children that can persist into adulthood, affecting social, academic, and career life. Early diagnosis is crucial for managing these impacts on patients and the…

Machine Learning · Computer Science 2025-09-11 Ali Amini , Mohammad Alijanpour , Behnam Latifi , Ali Motie Nasrabadi

Attention Deficit Hyperactivity Disorder (ADHD), characterized by inattention, hyperactivity, and impulsivity, is prevalent in the adult population. Long perceived and treated as a childhood condition, ADHD and its characteristics…

Human-Computer Interaction · Computer Science 2026-01-30 Valerie Tan , Luisa Jost , Jens Gerken , Max Pascher

ADHD is a prevalent disorder among the younger population. Standard evaluation techniques currently use evaluation forms, interviews with the patient, and more. However, its symptoms are similar to those of many other disorders like…

Artificial Intelligence · Computer Science 2023-02-02 Abhishek Sharma , Arpit Jain , Shubhangi Sharma , Ashutosh Gupta , Prateek Jain , Saraju P. Mohanty

Large language models (LLMs) struggle with the factual error during inference due to the lack of sufficient training data and the most updated knowledge, leading to the hallucination problem. Retrieval-Augmented Generation (RAG) has gained…

Information Retrieval · Computer Science 2026-01-22 Zulun Zhu , Tiancheng Huang , Kai Wang , Junda Ye , Xinghe Chen , Siqiang Luo

Large Language Models~(LLMs) have demonstrated capabilities across various applications but face challenges such as hallucination, limited reasoning abilities, and factual inconsistencies, especially when tackling complex, domain-specific…

Large language models (LLMs) are increasingly used in the mental health domain, yet it remains unclear how well they capture related biomedical knowledge and how reliably they apply it to clinically salient structured judgments. Here, we…

Computation and Language · Computer Science 2026-05-18 Weixin Liu , Congning Ni , Shelagh A. Mulvaney , Susannah L. Rose , Murat Kantarcioglu , Bradley A. Malin , Zhijun Yin

Large Language Models (LLMs) have achieved impressive performance in complex reasoning problems. Their effectiveness highly depends on the specific nature of the task, especially the required domain knowledge. Existing approaches, such as…

Multiagent Systems · Computer Science 2025-11-20 Jiangwen Dong , Zehui Lin , Wanyu Lin , Mingjin Zhang

Autism Spectrum Disorder (ASD) is a prevalent neurological disorder. However, the multi-faceted symptoms and large individual differences among ASD patients are hindering the diagnosis process, which largely relies on subject descriptions…

Neurons and Cognition · Quantitative Biology 2024-11-11 Yuzhe Chen , Dayu Qin , Ercan Engin Kuruoglu

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by atypical brain connectivity. One of the crucial steps in addressing ASD is its early detection. This study introduces a novel computational framework that…

Applications · Statistics 2026-03-31 Abigail Kelly , Ramchandra Rimal , Arpan Sainju

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that is highly prevalent and requires clinical specialists to diagnose. It is known that an individual's viewing behavior, reflected in their eye movements, is…

In the past two years, large language model (LLM)-based chatbots, such as ChatGPT, have revolutionized various domains by enabling diverse task completion and question-answering capabilities. However, their application in scientific…

Artificial Intelligence · Computer Science 2025-09-01 Tingxuan Xu , Jiarui Feng , Justin Melendez , Kaleigh Roberts , Donghong Cai , Mingfang Zhu , Donald Elbert , Yixin Chen , Randall J. Bateman
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