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Advanced Neurology

REVIEW ARTICLE
Artificial intelligence in epilepsy education

Walter Otu * , Muhammad Usman Khan 2 , Hafiz Talha Javed 3 , and
1
Irfan S. Sheikh 4,5
1 School of Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas,
United States of America
2 Department of Neurology, King Edward Medical University, Lahore, Punjab, Pakistan
3 Department of Neurology, College of Medicine, University of Arkansas for Medical Sciences, Little
Rock, Arkansas, United States of America
4 Epilepsy Section, Department of Neurology, University of Texas Southwestern Medical Center,
Dallas, Texas, United States of America
5 Department of Neurology, Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern
Medical Center, Dallas, Texas, United States of America

Abstract

The emergence of artificial intelligence (AI) has revolutionized the landscape of
epilepsy education and management by providing innovative solutions to the
challenges of diagnosis, treatment, and patient care. This review evaluates the
multifaceted role of AI in epilepsy, focusing on its impact on early diagnosis, seizure
*Corresponding author: prediction, and the development of personalized treatment plans. AI tools, including
Walter Otu machine learning algorithms and neural networks, have demonstrated significant
(walter.otu@utsouthwestern.edu) promise in enhancing diagnostic accuracy and identifying epileptic patterns.
Citation: Otu W, Khan MU, This study explores various AI-driven educational platforms designed to improve
Javed HT, Sheikh IS. Artificial the knowledge and skills of healthcare professionals, patients, and caregivers in
intelligence in epilepsy education. managing epilepsy. Moreover, AI applications in wearable devices and mobile
Adv Neurol. 2025;4(3):16-28.
doi: 10.36922/an.4777 health platforms facilitate real-time monitoring and patient engagement, ultimately
improving quality of life. However, integrating AI into clinical practice presents several
Received: September 5, 2024
challenges, including the need for large and high-quality datasets, interdisciplinary
1st revised: November 3, 2024 collaboration, data privacy, and ethical considerations. This review highlights these
2nd revised: December 18, 2024 barriers while suggesting uniform protocols and frameworks for efficiently translating
AI technologies into clinical practice. It underscores AI’s transformative potential in
3rd revised: January 10, 2025
epilepsy care and education, advocating for ongoing research and collaborative
Accepted: January 15, 2025 efforts among technologists, clinicians, and educators, while emphasizing the
Published online: February 4, importance of user-friendly design, regular assessments, and ethical considerations
2025 to maximize AI’s impact in this critical field.
Copyright: © 2025 Author(s).
This is an Open-Access article
distributed under the terms of the Keywords: Epilepsy education; Artificial intelligence; Epilepsy
Creative Commons Attribution
License, permitting distribution,
and reproduction in any medium,
provided the original work is
properly cited. 1. Introduction
Publisher’s Note: AccScience Epilepsy is a neurological disorder characterized by unprovoked, recurrent seizures
Publishing remains neutral with stemming from abnormal electrical activity in the brain. Affecting millions globally,
1
regard to jurisdictional claims in
published maps and institutional epilepsy arises from a complex interplay of genetic and environmental factors that disrupt
affiliations. the balance between excitatory and inhibitory brain signals, leading to hyperexcitability

Volume 4 Issue 3 (2025) 16 doi: 10.36922/an.4777