Artificial intelligence in epilepsy education

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.

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