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Artificial Intelligence Simulation of Adolescents' Responses to Vaping-Prevention Messages.
Sheeran, Paschal; Kenny, Alexander; Bermudez, Andrea; Gray, Kurt; Galper, Emily F; Boynton, Marcella; Noar, Seth M.
Affiliation
  • Sheeran P; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill.
  • Kenny A; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill.
  • Bermudez A; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill.
  • Gray K; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill.
  • Galper EF; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill.
  • Boynton M; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill.
  • Noar SM; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill.
JAMA Pediatr ; 178(5): 504-506, 2024 May 01.
Article in En | MEDLINE | ID: mdl-38526479
This quality improvement study investigates if a large language model could simulate adolescents' responses to vaping-prevention campaigns and identify the most effective messages to address the public health crisis of adolescent vaping.
Subject(s)
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Full text: 1 Database: MEDLINE Main subject: Artificial Intelligence / Vaping Limits: Adolescent / Female / Humans / Male Language: En Journal: JAMA Pediatr Year: 2024 Type: Article
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Add to My VHL
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Full text: 1 Database: MEDLINE Main subject: Artificial Intelligence / Vaping Limits: Adolescent / Female / Humans / Male Language: En Journal: JAMA Pediatr Year: 2024 Type: Article