Research Discovery: Analyzing overnight sleep electroencephalography (EEG) data could be used to predict brain health.
Potential Applications: Long-range brain-health monitoring, early interventions, and more.
Key Findings: Using end-to-end deep-learning AI methods, scientists can convert collected EEG data into useful brain-health biomarkers and assign a single “score” related to cognition, disease status, and mortality.
What’s Next? This study helps address the need for objective, integrative biomarkers for brain health, and it could play a potential role in data-driven care.
@NEJM.org has published a study reporting that gathering sleeping patients’ #EEG data, and analyzing it with AI deep-learning methods, could lead to insight and predictions about #BrainHealth. #SleepMedicine