Paper Info
Title
Modeling adoption of intelligent agents in medical imaging
Abstract
•The present study investigated factors affecting the acceptance of artificial intelligence in medical imaging.•Security, risk, and trust were verified as essential antecedents of user acceptance behavior.•Gender, age, country development, education, and medical knowledge are moderating the relationships between antecedent factors and behavioral acceptance.•Medical experience, training levels, and expertise areas could moderate the relationships among antecedent factors and behavioral acceptance.
Year
DOI
Venue
2022
10.1016/j.ijhcs.2022.102922
International Journal of Human-Computer Studies
Keywords
DocType
Volume
Unified theory of acceptance and use of technology,Human-Computer interaction,Artificial intelligence,Healthcare,Medical imaging
Journal
168
ISSN
Citations 
PageRank 
1071-5819
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Francisco Maria Calisto110.73
Nuno Jardim Nunes242574.01
Jacinto C. Nascimento339640.94