Presenters:

Jonathan M. Morris, M.D.

LEARNING OBJECTIVES

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

• Describe the access gap in obtaining trusted medical knowledge that digital twin AI experts aim to solve.
• Assess current evidence on AI systems replicating specialist-level clinical reasoning.
• Examine the liability and ethical considerations of deploying AI expert twins.
• Identify Mayo Clinics plan for incorporating Ai experts into education and clinical setting.

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.