Introduction to Artificial Intelligence (AI) in Health Care: Artificial Intelligence Learning Series

Introduction to Artificial Intelligence (AI) in Health Care: Artificial Intelligence Learning Series

Introduction to Artificial Intelligence provides a brief introduction to big data, artificial intelligence (AI), and machine learning (ML). It focuses on important vocabulary and the current uses, strengths, and limitations of AI and ML in health care. In addition, the module describes the process of developing a ML model intended for use in health care. Learners will come away with important considerations of using AI and ML in health care which will be expanded upon in the rest of the Artificial Intelligence Learning Series.
Artificial Intelligence Learning Series will introduce learners to key concepts related to artificial intelligence and machine learning in health care. Throughout the series, learners grasp the strengths and limitations of AI/ML. In addition, they will acquire the vocabulary necessary to effectively interact with other stakeholders involved in AI/ML in health care. Finally, learners will become comfortable reading literature that includes information about AI/ML. It is anticipated that this learning series will serve as an introduction to learners with additional educational programming being set by individual medical schools, residency, and fellowship programs.

  • Provider:American Medical Association
  • Activity Link: https://edhub.ama-assn.org/change-med-ed/interactive/18827029
  • Start Date: 2023-10-31 05:00:00
  • End Date: 2023-10-31 05:00:00
  • 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
«
»
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x

Contact us

If you want to join leaders who will shape what Americans think about sleep.

Name(Required)
Sign Up
This field is for validation purposes and should be left unchanged.

Sign up for the expert list

for media inquiries

Name(Required)
Sign Up
This field is for validation purposes and should be left unchanged.