This lecture introduces the development of SCORE-AI/autoSCORE, the first AI system capable of providing comprehensive interpretation of routine EEGs, long-term monitoring EEGs, and ambulatory EEGs. It will explain basic principles
Event Details
This lecture introduces the development of SCORE-AI/autoSCORE, the first AI system capable of providing comprehensive interpretation of routine EEGs, long-term monitoring EEGs, and ambulatory EEGs. It will explain basic principles of AI in EEG analysis, present validation results, and explore future perspectives on integrating AI into clinical practice. The session will conclude with a live demonstration of autoSCORE in action.
Learning Objectives:
Learn why AI is needed in EEG interpretation and the specific challenges it helps address.
Gain a basic understanding of AI and deep learning concepts as applied to EEG analysis.
Discover how SCORE-AI/autoSCORE was developed, validated, and implemented in clinical workflows.
Understand the potential impact and future role of AI in enhancing EEG interpretation and patient care.
Approved for 1.0 CEU available through ASET
Speakers for this event
Dr. Harald Aurlien
Dr. Harald Aurlien
MD
Dr. Harald Aurlien is a clinical neurophysiologist and neurologist with over 20 years of experience in EEG diagnostics and AI development. He is currently a Consultant at the Department of Clinical Neurophysiology, Haukeland University Hospital, Bergen, Norway. Dr. Aurlien is also Chief Medical Officer at Holberg EEG, leading innovations in automated EEG interpretation. He has expertise in EEG standardization (SCORE), international taskforces, and the integration of AI into clinical practice.
