Analyzing Barriers and Enablers for the Acceptance of Artificial Intelligence Innovations into Radiology Practice: A Scoping Review.

Fatma A EltawilMichael AtallaEmily BoulosAfsaneh AmirabadiPascal N Tyrrell

Published in: Tomography (Ann Arbor, Mich.) (2023)

This scoping review found that few studies have been designed specifically to identify barriers and enablers to the acceptance of AI in radiology practice. The majority of studies have assessed the perception of AI replacing radiologists, rather than other barriers or enablers in the adoption of AI. To comprehensively evaluate the potential advantages and disadvantages of integrating AI innovations into radiology practice, gathering more robust research evidence on stakeholder perspectives and attitudes is essential.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
primary care
healthcare
quality improvement
case control
risk assessment
climate change