New research from the University of Minnesota shows wide discrepancies, not just with artificial intelligence adoption, but with how well providers are equipped – financially and technically – to assess their AI tools for efficacy and integrity.
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New research from the University of Minnesota shows wide discrepancies, not just with artificial intelligence adoption, but with how well providers are equipped – financially and technically – to assess their AI tools for efficacy and integrity.