Evidence map›Paper›PMID 31293407›Full record

ReviewFrontiers in human neuroscience2019

Analysis of Perceptual Expertise in Radiology - Current Knowledge and a New Perspective.

Stephen Waite, Arkadij Grigorian, Robert G Alexander, Stephen L Macknik, Marisa Carrasco, David J Heeger, Susana Martinez-Conde

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
–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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Characteristics of trainee interpretation time during simulated screening mammography.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Stephen WaiteDepartment of Radiology, SUNY Downstate Medical Center, Brooklyn, NY, United States.
Arkadij GrigorianDepartment of Radiology, SUNY Downstate Medical Center, Brooklyn, NY, United States.
Robert G AlexanderDepartment of Ophthalmology, SUNY Downstate Medical Center, Brooklyn, NY, United States.
Stephen L MacknikDepartment of Ophthalmology, SUNY Downstate Medical Center, Brooklyn, NY, United States.
Marisa CarrascoDepartment of Psychology and Center for Neural Science, New York University, New York, NY, United States.
David J HeegerDepartment of Psychology and Center for Neural Science, New York University, New York, NY, United States.
Susana Martinez-CondeDepartment of Ophthalmology, SUNY Downstate Medical Center, Brooklyn, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiologists rely principally on visual inspection to detect, describe, and classify findings in medical images. As most interpretive errors in radiology are perceptual in nature, understanding the path to radiologic expertise during image analysis is essential to educate future generations of radiologists. We review the perceptual tasks and challenges in radiologic diagnosis, discuss models of radiologic image perception, consider the application of perceptual learning methods in medical training, and suggest a new approach to understanding perceptional expertise. Specific principled enhancements to educational practices in radiology promise to deepen perceptual expertise among radiologists with the goal of improving training and reducing medical error.

Indexed as

attentionexpertisegistholistic processingperceptual learningradiologyvisual perceptionvisual search

Identifiers

PMID31293407
PMCPMC6603246

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.