Presenters:

Daniel Cabrera, M.D.
Matt F. Redlon
Federico Mastroleo, M.D.
Joseph C. Ahn, M.D.
David Toro Tobon, M.D.
Maureen E. Prunty, M.H.A.
Jocelyne B. Renault
Elissa R. Hall, Ed.D., M.A.

LEARNING OBJECTIVES

Upon completion of this activity, participants should be able to:

• Define agentic AI and describe its potential role in supporting clinicians and care teams.
• Examine clinical examples of agentic AI implementation in specialty practice settings.
• Assess how clinician-in-the-loop design supports safety, trust, and accountability. 
   

ATTENDANCE / CREDIT

Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s) and staff, please go here to review disclosures.