Evidence map›Paper›PMID 41000588›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2025

Gamification for emergency radiology education and image perception: stab the diagnosis.

William F Auffermann, Nathan Barber, Ryan Stockard, Soham Banerjee

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

William F AuffermannUniversity of Utah School of Medicine, Department of Radiology and Imaging Sciences, Salt Lake City, Utah, United States.ORCID https://orcid.org/0000-0003-0015-4897
Nathan BarberUniversity of Utah School of Medicine, Salt Lake City, Utah, United States.ORCID https://orcid.org/0009-0008-1448-8277
Ryan StockardUniversity of Utah School of Medicine, Salt Lake City, Utah, United States.
Soham BanerjeeBaylor College of Medicine, Department of Radiology, Houston, Texas, United States.ORCID https://orcid.org/0000-0003-3763-9898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Gamification can be a helpful adjunct to education and is increasingly used in radiology. We aim to determine if using a gamified framework to teach medical trainees about emergency radiology can improve perceptual and interpretive skills and facilitate learning. Approach: We obtained approval from the Institutional Review Board, and participation was voluntary. Participants received training at the RadSimPE radiology workstation simulator and were shown three sets of computed tomography images related to emergency radiology diagnoses. Participants were asked to state their certainty that an abnormality was not present, localize it if present, and give their confidence in localization. Between case sets 1 and 2, the experimental group was provided with gamified emergency radiology training on the Stab the Diagnosis program, whereas the control group was not. Following the session, participants completed an eight-question survey to assess their thoughts about the training. Results: A total of 36 medical trainees participated. Both the experimental group and control group improved in localization accuracy, but the experimental group's localization confidence was significantly greater than the control group ( Conclusions: Gamification may be a valuable adjunct to conventional methods in radiology education and may improve trainee confidence.

Indexed as

educationgamificationperceptionsimulation

Identifiers

PMID41000588
PMCPMC12458100

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.