AI bias evaluation efforts are uneven across U.S. hospitals
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.
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.
Go to Source
2025-01-24 20:40
Except for the headline, this story has not been edited by Healthcare Central is published from a syndicated feed.