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 introduction to AI and ML will enable you to describe big data and its impact on AI and ML in health care; differentiate between traditional computer programming, AI, and ML; and recognize potential strengths and limitations of AI and ML in health care. You will also learn how to summarize the process of developing AI for use in a health care setting. As you progress through this module series, you will see important considerations of using AI and ML in health care.
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The AMA ChangeMedEd initiative works with partners across the medical education continuum to help produce a physician workforce that meets the needs of patients today and in the future.
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AMA CME Accreditation Information
CME Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships.
If applicable, all relevant financial relationships have been mitigated.
Credit Designation Statement: The American Medical Association designates this Enduring Material activity for a maximum of 0.50 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to:
It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting MOC credit.
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