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An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude.

Merel HuismanErik RanschaertWilliam ParkerDomenico MastrodicasaMartin KociDaniel Pinto de SantosFrancesca CoppolaSergey MorozovMarc ZinsCedric BohynUral KoçJie WuSatyam VeeanDominik FleischmannTim LeinerMartin J Willemink
Published in: European radiology (2021)
• Forty-eight percent of radiologists and residents have an open and proactive attitude towards artificial intelligence (AI), while 38% fear of replacement by AI. • Intermediate and advanced AI-specific knowledge levels may enhance adoption of AI in clinical practice, while rudimentary knowledge levels appear to be inhibitive. • AI should be incorporated in radiology training curricula to help facilitate its clinical adoption.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • healthcare
  • clinical practice
  • electronic health record
  • cross sectional