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This article provides a comprehensive overview of current developments in AI for epilepsy, including machine learning and deep learning approaches that incorporate data from various tools used in the health-care journey of a patient with epilepsy. It also discusses the potential of incorporating modalities not currently used in clinical practice. Solutions to limitations in integrating AI into clinical management are also proposed.