Medicine Grand Rounds: “Learning Health Systems in AI for Low-Resource Settings” Presented by Akbar, Waljee, MD, MPH, Leslie D. Yamada and Tachi Yamada M.D. Director University of Michigan Center for Global Health Equity; Assistant Dean, Global Health Research; Lyle C. Roll Professor, Departments of Learning Health Sciences and Internal Medicine Professor, Department of Epidemiology, University of Michigan. 

Join us in person! Bruce Schroffel Auditorium, University of Colorado Hospital, Anschutz Inpatient Pavilion 2, First Floor Conference Room – Lunch Provided or via Zoom.

Learning Objectives:

• Understand the Foundations of AI and Learning Health Systems

• Analyze applications of AI in learning health systems in low-resource settings

• Discuss Opportunities and Risks of Using AI in Low Resource Settings

Disclosure Statement: All of the planners, faculty, or individuals in control of content for this educational activity have no relevant financial relationships to disclose with ineligible companies, whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.

ABIM MOC Statement: Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 1 MOC point in the American Board of Internal Medicine (ABIM) Maintenance of Certification (MOC) program. It is the CME activity provider’s responsibility to submit information to ACGME for the purpose of granting ABIM MOC credit.

Accreditation & Designation Statement: The University of Colorado School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

The University of Colorado School of Medicine designates this live activity for a maximum of 1 AMA PRA Category 1 CreditTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.