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 methodology of AI in health care will enable you to categorize ML models employing supervised, unsupervised, or reinforcement learning methods, recognize how to apply a supervised learning model to a dataset to help solve a clinical problem, and describe deep learning, including convolutional neural networks and recurrent neural networks. You will also learn how to identify natural language processing used in health care. 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/18837983
- Start Date: 2023-12-12 06:00:00
- End Date: 2023-12-12 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