In this webinar, leading clinicians and researchers at the forefront of AI and sleep medicine will explore the transformative potential of AI in predicting health outcomes through sleep-related data. Panelists will delve into the value of sleep EEG in assessing neurological health and its predictive capabilities for conditions such as dementia. Additionally, experts will discuss how AI tools can be harnessed to predict outcomes related to sleep apnea, offering insights into early intervention and treatment strategies. The webinar will also cover the use of AI to analyze patient charts within Electronic Medical Records (EMRs) to extract critical sleep health information, shedding light on its role in diagnosing and managing a range of medical disorders, including neurodegenerative diseases.

Upon completion of this activity, participants should be able to:

1. Identify the value of AI in sleep for determining health outcomes.
2. Recognize how AI can be used in predicting sleep apnea individual and population health outcomes.
3. Discuss how EMR analysis of sleep problems by AI can lead to improved understanding of various medical disorders especially brain health.
4. Be cognizant of the limitations of AI.