Title: RST DLMP Grand Rounds - Artificial Intelligence in Pathology: More than meets the eye April 16, 2025

Presenter: Andrew Norgan, M.D., Ph.D. and Wenchao Han, Ph.D.

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

• Recognize the fundamental advancements that enabled the widespread application of artificial intelligence to problems in pathology and laboratory medicine
• Describe the various capabilities of transformer model architectures in medical and general applications
• Explain the potential benefits, drawbacks, and limitations of transformer model architectures as they are currently employed in pathology

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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