TY - JOUR
T1 - A review and perspective on the neural basis of radiological expertise
AU - Chang, Ryan Juien
AU - Elyan, Rommy
AU - Ahmed, Biyar
AU - Karunanayaka, Prasanna
N1 - Publisher Copyright:
© 2023 Wolters Kluwer Medknow Publications. All rights reserved.
PY - 2023/10
Y1 - 2023/10
N2 - Radiological expertise requires tremendous time, effort, and training. While there has been a myriad of studies focusing on radiological expertise and error, the precise underlying neural mechanism still remains largely unexplored. In this article, we review potential neural mechanisms, namely, the fusiform face area, working memory, and predictive coding and propose experiments to test the predictive coding framework.
AB - Radiological expertise requires tremendous time, effort, and training. While there has been a myriad of studies focusing on radiological expertise and error, the precise underlying neural mechanism still remains largely unexplored. In this article, we review potential neural mechanisms, namely, the fusiform face area, working memory, and predictive coding and propose experiments to test the predictive coding framework.
UR - http://www.scopus.com/inward/record.url?scp=85174817361&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85174817361&partnerID=8YFLogxK
U2 - 10.25259/JCIS_135_2022
DO - 10.25259/JCIS_135_2022
M3 - Article
C2 - 37941921
AN - SCOPUS:85174817361
SN - 2156-7514
VL - 13
JO - Journal of Clinical Imaging Science
JF - Journal of Clinical Imaging Science
IS - 1
M1 - 33
ER -