Within the Artificial Intelligence Learning Series, learners will be introduced to keys concepts related to artificial intelligence (AI) and machine learning (ML) in health care. This microlearning course on the diagnosis of AI in health care will enable you to describe the components of the diagnostic process, identify current uses of AI/ML in the diagnosis process, and interpret measures of diagnostic accuracy commonly reported in AI/ML literature. You will also learn how to apply the results of a diagnostic study using ML to a clinical case.
- Provider:American Medical Association
- Activity Link: https://edhub.ama-assn.org/change-med-ed/interactive/18855607
- Start Date: 2024-02-20 06:00:00
- End Date: 2024-02-20 06:00:00
- Credit Details: AMA PRA Category 1 Credit™️: 0.5 hours
- MOC Credit Details: ABS - 0.5 Point; Credit Type(s): Accredited CME (ABS)
ABPATH - 0.5 Point; Credit Type(s): Lifelong Learning (ABPATH)
ABIM - 0.5 Point; Credit Type(s): Medical Knowledge (ABIM)
ABP - 0.5 Point; Credit Type(s): Lifelong Learning and Self-Assessment (ABP)
ABOHNS - 0.5 Point; Credit Type(s): Self-Assessment (ABOHNS) - Commercial Support: No
- Activity Type: Enduring Material
- CME Finder Type: Online Learning
- Fee to Participate: No, it's free
- Measured Outcome: Learner Competence, Learner Knowledge
- Provider Ship: Directly Provided
- Registration: Open to all
- Specialty: All Practice Areas (e.g. ethics), General Otolaryngology, General Pediatrics, General Surgery, Internal Medicine
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