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The 2024-2025 Neuro Epilepsy Lecture Series will include eight lectures covering hot topics in basic and clinical epilepsy research. Speakers will include distinguished leaders and rising stars, with the goal of bridging basic research and clinical perspectives.

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AI in Epilepsy: From Diagnosis to Continuous Monitoring

Abstract: This presentation will examine the application of artificial intelligence (AI) in the diagnosis and monitoring of epilepsy. We will review current methodologies in automated EEG analysis as well as the integration of wearable technologies for seizure detection and forecasting. Emphasis will be placed on algorithm development, validation metrics, and the translational opportunities and challenges associated with clinical deployment.

Elie Bou Assi

Department of Neuroscience, Université de Montréal, Centre de Recherche du Centre hospitalier de l’Université de Montréal (CRCHUM)

Elie Bou Assi is an Associate Professor in the Department of Neuroscience at the Faculty of Medicine, Université de Montréal. He is also affiliated with the Institute for Data Valorization (IVADO) and serves as a principal scientist at the Centre de Recherche du Centre hospitalier de l’Université de Montréal (CRCHUM). He holds a PhD in biomedical engineering from Polytechnique Montréal. His research focuses on applying artificial intelligence to EEG and physiological signals acquired through wearable devices to improve the diagnosis, monitoring, and management of epilepsy. He was named a Future Leader in Canadian Brain Research by Brain Canada (2022) and received the Epilepsy Canada Young Investigator Award (2023) and the Canadian League Against Epilepsy Publication Award (2023, 2024). His laboratory is funded by the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Fonds de recherche du Québec – Santé (FRQS), and IVADO.

These seminar series are made possible through the sponsorship of:

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