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Searching for information about stem cells online in an age of artificial intelligence: How should the stem cell community respond?
Hoeyer, Klaus; Couturier, Anna; Barawi, Kali; Drew, Cheney; Grundtvig, Anders; Lane, Emma; Munk, Anders Kristian; Whiteley, Louise Emma; Munsie, Megan.
Afiliación
  • Hoeyer K; Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
  • Couturier A; EuroGCT, University of Edinburgh, Edinburgh, UK.
  • Barawi K; Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK.
  • Drew C; Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK.
  • Grundtvig A; Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
  • Lane E; School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK.
  • Munk AK; TANTlab, Department of Culture and Learning, Aalborg University, Aalborg, Denmark.
  • Whiteley LE; Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
  • Munsie M; Stem Cell Biology Theme, Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Medicine, University of Melbourne, Melbourne, VIC, Australia. Electronic address: megan.munsie@mcri.edu.au.
Stem Cell Reports ; 19(2): 159-162, 2024 Feb 13.
Article en En | MEDLINE | ID: mdl-38278153
ABSTRACT
Patients and their families routinely use the Internet to learn about stem cell research. What they find, is increasingly influenced by ongoing changes in how information is filtered and presented online. This article reflects on recent developments in generative artificial intelligence and how the stem cell community should respond.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Internet Límite: Humans Idioma: En Revista: Stem Cell Reports / Stem cell reports Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Internet Límite: Humans Idioma: En Revista: Stem Cell Reports / Stem cell reports Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca