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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.
Afiliación
  • 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 en 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Vapeo Límite: Adolescent / Female / Humans / Male Idioma: En Revista: JAMA Pediatr Año: 2024 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Vapeo Límite: Adolescent / Female / Humans / Male Idioma: En Revista: JAMA Pediatr Año: 2024 Tipo del documento: Article