Neuro Intel: A System for Clinical Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) Using Artificial Intelligence

Sotirios Batsakis, E. Papadakis, Ilias Tachmazidis, Tianhua Chen, G. Antoniou, M. Adamou
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Abstract

Attention-Deficit Hyperactivity Disorder (ADHD) is a mental condition characterised by a pattern of inattention, hyperactivity, and/or impulsivity that causes significant impairment across various domains. Delayed diagnosis and treatment for ADHD can be harmful to people, leading to broader mental health conditions. This paper presents a fully functional system for diagnosing ADHD using an Artificial Intelligence (AI) system called Neuro Intel. Positive results from our research has led to the development of Neuro Intel, which incorporates both expert clinician knowledge and historical clinical data using Machine Learning to assist clinicians in the diagnosis of ADHD in adults.
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神经英特尔:使用人工智能的注意缺陷多动障碍(ADHD)临床诊断系统
注意缺陷多动障碍(ADHD)是一种以注意力不集中、多动和/或冲动为特征的精神疾病,会导致各领域的严重损害。对多动症的延迟诊断和治疗可能对人们有害,导致更广泛的精神健康问题。本文介绍了一个全功能的系统,用于诊断多动症使用人工智能(AI)系统称为神经英特尔。我们研究的积极成果推动了Neuro Intel的发展,它结合了专家临床医生的知识和使用机器学习的历史临床数据,以帮助临床医生诊断成人多动症。
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