Sleep-wake cycling on amplitude-integrated electroencephalography in term newborns with hypoxic-ischemic encephalopathy

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