Upon completion of this activity, participants should be able to:
1. Identify premises for the use of machine learning in sleep medicine;
2. Identify the faults in current measures that quantify healthy and disordered sleep;
3. Describe use cases beyond sleep staging and scoring for AI in the sleep laboratory; and
4. Identify opportunities for AI to benefit sleep medicine and research outside of the sleep laboratory.
- Provider:American Academy of Sleep Medicine
- Activity Link: https://learn.aasm.org/
- Start Date: 2022-03-11 06:00:00
- End Date: 2022-03-11 06:00:00
- Credit Details: AMA PRA Category 1 Credit™️: 0.75 hours
- MOC Credit Details: ABIM - 0.75 Point; Credit Type(s): Medical Knowledge (ABIM)
ABP - 0.75 Point; Credit Type(s): Lifelong Learning and Self-Assessment (ABP)
ABOHNS - 0.75 Point; Credit Type(s): Self-Assessment (ABOHNS) - Commercial Support: No
- Activity Type: Enduring Material
- CME Finder Type: Online Learning
- Fee to Participate: Yes
- Measured Outcome: Learner Competence
- Provider Ship: Directly Provided
- Registration: Open to all
- Specialty: Sleep Medicine
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