Singapore radiographers' perceptions and expectations of artificial intelligence - A qualitative study.

Journal: Journal of medical imaging and radiation sciences
PMID: 36115823

Abstract

INTRODUCTION: With the emergence of artificial intelligence (AI) in medical imaging, radiographers are likely to be at the forefront of this technological advancement. Studies have therefore been conducted recently to understand radiographers' opinions on AI adoption. This study extends that work by using a qualitative approach to further explore radiographers' knowledge, perceptions, and expectations of AI.

Authors

  • Chloe Theresia Ng
    Health and Social Sciences Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683.
  • Sri Nur Aidah Roslan
    Health and Social Sciences Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683.
  • Yi Hong Chng
    Health and Social Sciences Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683.
  • Denise Ai Wen Choong
    Health and Social Sciences Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683.
  • Ai Jia Letty Chong
    Health and Social Sciences Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683.
  • Yi Xiang Tay
    Health and Social Sciences Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683.
  • Luis Lança
    Health and Social Sciences Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683; ESTeSL - Escola Superior de Tecnologia da Saúde de Lisboa, Instituto Politécnico de Lisboa, Av D. João II, 1990-096 Lisboa, Portugal.
  • Eric Chern-Pin Chua
    Health and Social Sciences Cluster, Singapore Institute of Technology, 10 Dover Drive, Singapore 138683. Electronic address: eric.chua@singaporetech.edu.sg.

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