Activity ID
13055Expires
December 12, 2026Format Type
EnduringCME Credit
0.5Fee
30CME Provider: American Medical Association
Description of CME Course
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.
Disclaimers
1. This activity is accredited by the American Medical Association.
2. This activity is free to AMA members.
ABMS Member Board Approvals by Type
ABMS Lifelong Learning CME Activity
Allergy and Immunology
Anesthesiology
Colon and Rectal Surgery
Family Medicine
Medical Genetics and Genomics
Nuclear Medicine
Ophthalmology
Orthopaedic Surgery
Pathology
Physical Medicine and Rehabilitation
Plastic Surgery
Preventive Medicine
Psychiatry and Neurology
Radiology
Thoracic Surgery
Urology
Commercial Support?
NoNOTE: If a Member Board has not deemed this activity for MOC approval as an accredited CME activity, this activity may count toward an ABMS Member Board’s general CME requirement. Please refer directly to your Member Board’s MOC Part II Lifelong Learning and Self-Assessment Program Requirements.
Educational Objectives
1. Categorize machine learning models employing supervised, unsupervised, or reinforcement learning methods
2. Recognize how to apply a supervised learning model to a dataset to help solve a clinical problem
3. Describe deep learning, including convolutional neural networks and recurrent neural networks
4. Identify natural language processing used in health care
Keywords
Artificial Intelligence
Competencies
Medical Knowledge
CME Credit Type
AMA PRA Category 1 Credit
DOI
10.1001/ama.2022.0000476
