By the end of this activity learners will be able to: Define key artificial intelligence terminology relevant to sleep medicine and highlight its limitations. Describe the application of AI tools in scoring polysomnography, mask fitting and electronic medical record transcription. Demonstrate the practical application of AI methodologies through case presentations of patient scenarios. Explain the challenges, biases and ethical considerations involved in the use of AI in medicine.
- Provider:American Academy of Sleep Medicine
- Activity Link: https://members.aasm.org/site/AASMMembers/AASMStore/StoreLayouts/Store_Home.aspx?_gl=1*101tw8w*_gcl_aw*R0NMLjE3MjY1ODg1NzUuQ2p3S0NBancwYVMzQmhBM0Vpd0FLYUQyWmFHY3BoZ1cyQ1RmTExUUnZ3QU1vY3JiZk9Ud3VMTEx1bXpmaU5DbjhwWWlINzNiLTRuR2dSb0NiSndRQXZEX0J3RQ..*_gcl_au*MTYxNDYyMTA4LjE3MzAxMzMyODY.&_ga=2.214338197.302096025.1733149111-1341211529.1652816181
- Start Date: 2024-12-09 06:00:00
- End Date: 2024-12-09 06:00:00
- Credit Details: AMA PRA Category 1 Credit™️: 2.0 hours
- MOC Credit Details: ABIM - 2.0 Point; Credit Type(s): Medical Knowledge (ABIM)
ABP - 2.0 Point; Credit Type(s): Lifelong Learning and Self-Assessment (ABP)
ABOHNS - 2.0 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, Learner Knowledge
- Provider Ship: Directly Provided
- Registration: Open to all
- Specialty: Sleep Medicine
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