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Testing the Acceptability and Usability of an AI-Enabled COVID-19 Diagnostic Tool Among Diverse Adult Populations in the United States.

Josh SchillingF Gerard MoellerRachele PetersonBrandon BeltzDeepti JoshiDanielle GartnerJee VangPraduman Jain
Published in: Quality management in health care (2022)
Overall, these findings suggest that our AI-enabled COVID-19 testing approach has great potential to improve the quality of remote COVID testing at low cost and high accessibility for diverse demographic populations in the United States.
Keyphrases
  • coronavirus disease
  • sars cov
  • low cost
  • artificial intelligence
  • healthcare
  • electronic health record
  • machine learning
  • genetic diversity
  • risk assessment
  • climate change
  • young adults
  • human health
  • childhood cancer