Title: “Using AI to detect early/curable cancer: Lessons from Gastroenterology” 

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

• Recall the process for developing computer vision solutions to detect early neoplasia in the colon, pancreas and other GI organs 

• Recognize how large language models and generative AI can identify individuals at risk for cancer, who may benefit from screening.  

• Give examples of real-world solutions developed at Mayo Clinic for colonic polpy and pancreatic cancer detection. 

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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