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 module on practical applications of AI in the health system will enable you to identify health care AI stakeholders and their roles, recognize key considerations when implementing AI/ML algorithms into clinical practice, and describe the potential impact of AI/ML on various aspects of the health system. As you progress through this module series, you will see important considerations of using AI and ML in health care.
- Provider:American Medical Association
- Activity Link: https://edhub.ama-assn.org/change-med-ed/interactive/18887998
- Start Date: 2024-06-25 05:00:00
- End Date: 2024-06-25 05:00:00
- Credit Details: AMA PRA Category 1 Credit™️: 0.75 hours
- MOC Credit Details: ABS - 0.75 Point; Credit Type(s): Accredited CME (ABS)
ABPATH - 0.75 Point; Credit Type(s): Lifelong Learning (ABPATH)
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: 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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