Presenters:
Elena Myasoedova, M.P.H. Ph.D.

Shant Ayanian, M.D.

LEARNING OBJECTIVES
Upon conclusion of this activity, participants should be able to:

• Discuss the use of AI-enabled multi-modal models for informed clinical decision-making.
• Demonstrate the concept of nucleotide transformer as the novel approach to interpretation and processing of genetic data.
• Discuss the barriers and opportunities for implementation of generative AI models in clinical workflow.

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.

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