Expertise in Radiology

Study Details

Information about this study has been provided by the principal investigator.

Across many domains, including radiology, successful diagnosis depends on features-events/object associations in memory that form ‘cues’. Expert Intensive Skills Evaluation 2.0 (EXPERTise 2.0) is a generalized measure of cue utilization based on cue-based domain specific tasks. It is based on the capacity of the operator to identify, recognise, compare, discriminate and prioritise task-related cues. It is tailored to specific contexts and in a previous study we tested the sensitivity of cue utilization in differentiating novice, competent, and expert performance of radiologists. Superior cue utilization or pattern recognition has been shown to be associated with greater performance accuracy (Carrigan et al., 2020; Loveday, Wiggins & Searle, 2014) and a higher capacity for sustained attention (Brouwers et al., 2017; Sturman et al., 2019) across a number of domains. What remains unknown is how cue utilisation differentiates diagnostic performance in musculoskeletal radiology.

We are inviting radiologists and radiologists in training to participate in a 30 min study. You will see visual images and text-based scenarios related to your role. There are 2 parts to the study: Part 1 comprises 5 short tasks and in Part 2 you will view 20 musculoskeletal X-Rays and asked to make a diagnosis.

Visit Study Website exit disclaimer

Website Instructions

Log in to the Participant Portal: 

  • Organisation Code: Rad_2020
  • Select Project: Rad_2020

Create an account that will generate a non-identifiable code.


Ann Carrigan

Macquarie University

Participant Qualifications

  • Radiologists (and radiologists in training)

Principal Investigator

Professor Mark Wiggins


Macquarie University, Sydney, Australia

IRB Approval Number


These experiments are not conducted by the National Cancer Institute (NCI). NCI features studies on this page as a resource to the extramural community. The listing of any study, PI, or organization does not imply endorsement in the study’s validity or any research entity. For questions, contact Todd Horowitz.

Last Updated
November 23, 2020