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 prognostication and treatment of AI in health care will enable you to recognize the potential uses for AI and ML when making prognostication and treatment decisions, describe the benefits and limitations to using AI and ML in prognostication and treatment, and interpret the results of a prognosis study that includes AI and ML. You will also learn how to apply the results of a prognosis study that includes AI and ML to a clinical case.
Credit & MOC Details
Credit information is provided by the course provider. We recommend confirming credit eligibility with the provider or your licensing board before starting the activity.
Credit types
MOC types
FDA REMS
Qualifies for MIPS
Target Specialties
Pricing
97% of listed courses are free
292 of a sample of 300 are free · 595 courses listed here.
Collected from the provider’s public pages · source
- No reviews yet. Be the first to share yours.
Pricing
Free
Reported to ACCME by the provider
- Journal-based
- includes Case study / clinical scenario
- includes Microlearning
- Credit · Up to 0.5 credits
- MOC · Up to 0.5 points
-
ReleasedFeb 20, 2024
-
Last day to claim creditFeb 21, 2027 4 months left
-
Optum Health Education Integrating AI/Machine Learning Into Patient Care
-
National Kidney Foundation Integration of Artificial Intelligence and Machine Learning in Kidney Health
-
American Board of Quality Assurance and Utilization Review Physicians Medical Quality Assurance in the Age of Artificial Intelligence
