Your browser doesn't support javascript.
loading
Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives.
Aquino, Yves Saint James; Carter, Stacy M; Houssami, Nehmat; Braunack-Mayer, Annette; Win, Khin Than; Degeling, Chris; Wang, Lei; Rogers, Wendy A.
  • Aquino YSJ; Australian Centre for Health Engagement, Evidence and Values, School of Health and Society, University of Wollongong, Wollongong, New South Wales, Australia yaquino@uow.edu.au.
  • Carter SM; Australian Centre for Health Engagement, Evidence and Values, School of Health and Society, University of Wollongong, Wollongong, New South Wales, Australia.
  • Houssami N; School of Public Health, The University of Sydney, Sydney, New South Wales, Australia.
  • Braunack-Mayer A; The Daffodil Centre, Sydney, New South Wales, Australia.
  • Win KT; Australian Centre for Health Engagement, Evidence and Values, School of Health and Society, University of Wollongong, Wollongong, New South Wales, Australia.
  • Degeling C; Centre for Persuasive Technology and Society, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia.
  • Wang L; Australian Centre for Health Engagement, Evidence and Values, School of Health and Society, University of Wollongong, Wollongong, New South Wales, Australia.
  • Rogers WA; Centre for Artificial Intelligence, School of Computing and Information Technology, University of Wollongong, Wollongong, New South Wales, Australia.
J Med Ethics ; 2023 Feb 23.
Article en En | MEDLINE | ID: mdl-36823101
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Año: 2023 Tipo del documento: Article