Speaker(s):
Paul A. Friedman, M.D.
Peter A. Noseworthy, M.D.

Learning Objectives
Upon conclusion of this program, participants should be able to:

• Review how AI can be applied to existing health data to (1) assess clinical trial enrollment eligibility, (2) provide risk stratification for subclinical disease, and (3) drive downstream diagnostic testing and treatment
• Describe how the application of AI to ECG may help facilitate cost-effective AF screening

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.