AccScience Publishing / AN / Online First / DOI: 10.36922/an.4777
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Artificial intelligence in epilepsy education

Walter Otu1* ,  Muhammad Usman Khan2 ,  Hafiz Talha Javed3 ,  Irfan S. Sheikh4,5
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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
Advanced Neurology, 4777 https://doi.org/10.36922/an.4777
Submitted: 5 September 2024 | Revised: 10 January 2025 | Accepted: 15 January 2025 | Published: 4 February 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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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 prediction, and the development of personalized treatment plans. AI tools, including machine learning algorithms and neural networks, have demonstrated significant promise in enhancing diagnostic accuracy and identifying epileptic patterns. This study explores various AI-driven educational platforms designed to improve the knowledge and skills of healthcare professionals, patients, and caregivers in managing epilepsy. Moreover, AI applications in wearable devices and mobile health platforms facilitate real-time monitoring and patient engagement, ultimately improving quality of life. However, integrating AI into clinical practice presents several challenges, including the need for large and high-quality datasets, interdisciplinary collaboration, data privacy, and ethical considerations. This review highlights these barriers while suggesting uniform protocols and frameworks for efficiently translating AI technologies into clinical practice. It underscores AI’s transformative potential in epilepsy care and education, advocating for ongoing research and collaborative efforts among technologists, clinicians, and educators, while emphasizing the importance of user-friendly design, regular assessments, and ethical considerations to maximize AI’s impact in this critical field.

Graphical abstract
Keywords
Epilepsy education
Artificial intelligence
Epilepsy
Funding
None.
Conflict of interest
The authors declare no conflicts of interest.
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