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

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 h...

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Bibliographic Details
Main Authors: Batsakis, Sotirios, Papadakis, Emmanuel, Tachmazidis, Ilias, Chen, Tianhua, Antoniou, Grigoris, Adamou, Marios
Format: Conference Proceeding
Language:English
Subjects:
Artificial Intelligence
Attention-deficit hyperactivity disorder (ADHD)
Clinical diagnosis
Computers
Diagnostic system
Knowledge Based System
Machine learning
Mental health
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Summary: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.
ISSN:2642-7389
DOI:10.1109/ISCC58397.2023.10218313