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Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers.
Rainey, Clare; O'Regan, Tracy; Matthew, Jacqueline; Skelton, Emily; Woznitza, Nick; Chu, Kwun-Ye; Goodman, Spencer; McConnell, Jonathan; Hughes, Ciara; Bond, Raymond; McFadden, Sonyia; Malamateniou, Christina.
Afiliação
  • Rainey C; Faculty of Life and Health Sciences, School of Health Sciences, Ulster University, Newtownabbey, United Kingdom.
  • O'Regan T; The Society and College of Radiographers, London, United Kingdom.
  • Matthew J; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
  • Skelton E; School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
  • Woznitza N; Department of Radiography, Division of Midwifery and Radiography, School of Health Sciences, University of London, London, United Kingdom.
  • Chu KY; University College London Hospitals, London, United Kingdom.
  • Goodman S; School of Allied and Public Health Professions, Canterbury Christ Church University, Canterbury, United Kingdom.
  • McConnell J; Department of Oncology, Oxford Institute for Radiation Oncology, University of Oxford, Oxford, United Kingdom.
  • Hughes C; Radiotherapy Department, Churchill Hospital, Oxford University Hospitals NHS FT, Oxford, United Kingdom.
  • Bond R; The Society and College of Radiographers, London, United Kingdom.
  • McFadden S; NHS Scotland, Greater Glasgow and Clyde, Glasgow, United Kingdom.
  • Malamateniou C; Faculty of Life and Health Sciences, School of Health Sciences, Ulster University, Newtownabbey, United Kingdom.
Front Digit Health ; 3: 739327, 2021.
Article em En | MEDLINE | ID: mdl-34859245

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2021 Tipo de documento: Article