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A Thought Leadership Series with UnitedHealth Group
1.0 CME/NCPD/ACPE-P(T)/APA/ASWB credits will be available following the event.
Activity Description Artificial intelligence (AI) and machine learning (ML) are increasingly being used in healthcare settings with applications in decision support, patient care, and disease management. If the underlying data on which AI depends is inherently biased or lacks a diverse representation of populations, the algorithms cannot produce accurate outputs and will further widen the gap of equitable care.
This activity will discuss how AI and ML can be used to address social determinants of health and create more equitable healthcare solutions and improve health outcomes.
Learning Objectives
Speakers
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