Modern approaches to the diagnosis of neurological disorders using artificial neural networks
Year: 2025
Type: article
Abstract: The article explores the application of neuro-symbolic approaches utilizing artificial neural networks for diagnosing neurological disorders among individuals with autism spectrum conditions. It demonstrates how these networks can identify and enhance distinctive strengths, such as advanced pattern recognition and systematic reasoning, facilitating their integration into professional environments. The study emphasizes the importance of inclusive employment initiatives supported by modern diagnostic tools, while addressing ethical considerations, including data privacy and non-discrimination. It proposes tailored educational and vocational programs and evaluates their potential impact on the legislative framework of Ukraine, aiming to reinforce policies designed to safeguard the rights of individuals with special needs.
Authors: Serhii Yevdokymov, Edgars Elsts
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
SDG: Reduced inequalities
Open Access status: bronze
OpenAlex ID: W4411224768