A Preview of AI Solutions and Panel Discussion
Objectives and Disclosures
Participants will be able to:
- Assess the emerging roles of machine learning and artificial intelligence in pediatric care.
- Analyze current barriers and gaps in training related to digital health and AI competencies in the pediatric workforce.
- Outline how AI and ML can support more equitable, personalized, and preventive pediatric care models.
Seattle Children’s CME Planners and today’s speaker disclose they have no relevant financial relationships.
Emily Larimer, MD
Fellow, Clinical Informatics, University of Washington (Seattle Children’s-funded Pediatric Track)
Christopher Lewis, MD
Fellow, Clinical Informatics, University of Washington of Artificial Intelligence Care Lab, Pennsylvania Health System
Clara Lin, MD
Vice President, Chief Medical Information Officer, Seattle Children’s; Clinical Associate Professor, Pediatrics, UW
Michael Leu, MD, MS, MHA, FAAP, FAMIA
Head, Section of Pediatric Clinical Informatics, Seattle Children’s; Professor, Pediatrics, UW
CME Credit
Seattle Children’s is accredited by the Washington State Medical Association CME Accreditation Committee to sponsor continuing medical education for physicians.
Seattle Children’s designates this online educational activity for a maximum of 1 AMA PRA Category 1 Credit™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
This activity meets the criteria for up to 1 hour of Category I CME credit to satisfy the relicensure requirements of the Washington State Medical Quality Assurance Commission.
Videos are available for only one year after posting.
If you wish to receive Category I CME credit for viewing this Provider Grand Rounds session, please complete the evaluation form. Upon completion of the form you will receive an auto-reply email that will serve as the only confirmation of your CME credit. Please keep the email for your records.