PRESENTATION TITLE
Can artificial intelligence really improve melanoma early detection and reduce health disparities?

PRESENTER(S)
Susan M. Swetter, M.D.

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

• Summarize terminology regarding health disparities & social determinants of health
• Recognize risks of later-stage diagnosis and health disparities in individuals with skin of color, rural geography, and/or lower socioeconomic status
• Examine the role of community health engagement and artificial/augmented intelligence to promote earlier detection in populations at increased risk of lethal melanomas
• Identify the realities of AI/AuI for melanoma early 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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