Activity ID
13375Expires
June 25, 2027Format Type
EnduringCME Credit
0.75Fee
30CME Provider: American Medical Association
Description of CME Course
Within the Artificial Intelligence Learning Series, learners will be introduced to key concepts related to artificial intelligence (AI) and machine learning (ML) in health care. This module on practical applications of AI in the health system will enable you to identify health care AI stakeholders and their roles, recognize key considerations when implementing AI/ML algorithms into clinical practice, and describe the potential impact of AI/ML on various aspects of the health system. 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. Identify health care AI stakeholders and their roles (payers, patients, clinicians, developers, policymakers)
2. Recognize key considerations when implementing AI/ML algorithms into clinical practice
3. Describe the potential impact of AI/ML on various aspects of the health system
Keywords
Artificial Intelligence
Competencies
Medical Knowledge
CME Credit Type
AMA PRA Category 1 Credit
DOI
10.1001/ama.2022.0000510
