UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments

UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments

Introduction: Radiographer reporting is accepted practice in the UK. With a national shortage of radiographers and radiologists, artificial intelligence (AI) support in reporting may help minimise the backlog of unreported images. Modern AI is not well understood by human end-users. This may have et...

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Bibliographic Details
Main Authors: Bond, R. (Author), Chu, K.-Y (Author), Goodman, S. (Author), Hughes, C. (Author), Malamateniou, C. (Author), Matthew, J. (Author), McConnell, J. (Author), McFadden, S. (Author), O'Regan, T. (Author), Rainey, C. (Author), Skelton, E. (Author), Woznitza, N. (Author)
Format: Article
Language:English
Published: W.B. Saunders Ltd 2022
Subjects:
adult
AI
article
artificial intelligence
Artificial intelligence
Clinical imaging
decision making
Digital health
education
Education
female
human
major clinical study
male
perception
radiographer
radiography
Radiography
trust
workforce
Workforce training
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