AI in Breast Cancer Pathology
Presenter: Saba Yasir, MBBS

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

• Define artificial intelligence (AI) and machine learning (ML) 

• Identify the scope and applications of AI in breast pathology, especially in biomarkers interpretation 

• Examine the potential role of AI-based automation in improving pathology overflows 

• Summarize current challenges and some future opportunities of AI-based algorithms in breast pathology 

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.

To claim credit for livestream participation in this course, learners must view the content during the hours posted for the live activity.  This course is not approved for on-demand delivery. 

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

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