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At the conclusion of this session, participants should be able to:
• Identify how to apply artificial intelligence and machine learning to develop risk indices to predict transplant success.
• Distinguish characteristics of kidney patients more likely to drop out of transplant evaluation.
• List 3 structural and community-level factors that are associated with higher transplant drop-out rates.