Activity ID
13101Expires
February 20, 2027Format 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 diagnosis of AI in health care will enable you to describe the components of the diagnostic process, identify current uses of AI/ML in the diagnosis process, and interpret measures of diagnostic accuracy commonly reported in AI/ML literature. You will also learn how to apply the results of a diagnostic study using ML to a clinical case.
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. Describe the components of the diagnostic process
2. Describe current uses of AI/ML in the diagnostic process
3. Interpret performance measures of diagnostic accuracy commonly reported in AI/ML literature
4. Apply the results of a diagnostic study using AI/ML to a clinical case
Keywords
Artificial Intelligence
Competencies
Medical Knowledge
CME Credit Type
AMA PRA Category 1 Credit
DOI
10.1001/ama.2022.0000475
