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Neural Network: Transforming the Diagnosis and Treatment of Neurological Diseases
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Author(s): S. Ida Evangeline (Government College of Engineering, Tirunelveli, India)
Copyright: 2026
Pages: 20
Source title:
The Emerging Role of Advanced Technologies in Neurological Diseases
Source Author(s)/Editor(s): Adnène Arbi (National Institute of Applied Sciences and Technology, University of Carthage, Tunisia & Laboratory of Mathematical Engineering, Tunisia Polytechnic School, University of Carthage, Tunisia)and Walid Ben Ameur (Faculty of Sciences of Gabes, Tunisia)
DOI: 10.4018/979-8-3373-2706-8.ch005
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Abstract
The accelerating global prevalence of neurological diseases such as Alzheimer's, Parkinson's, epilepsy, stroke, and multiple sclerosis has created an urgent demand for advanced technologies that can improve diagnostic precision, treatment personalization, and long-term patient outcomes. This chapter explores the transformative role of neural networks—computational systems inspired by the structure and function of the human brain—in revolutionizing the diagnosis, treatment, and management of neurological disorders. Beginning with foundational principles in deep learning, including key architectures like convolutional neural networks, recurrent neural networks, and long short-term memory networks, the chapter outlines how these models process complex, high-dimensional neurological data. Practical applications are examined across neuroimaging analysis, signal interpretation, and brain-computer interface systems, showcasing their ability to detect early disease markers, predict therapeutic responses, and support neurorehabilitation.
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