Cited by 32Problem and Project Based LearningRadiology practices and educationInnovations in Medical Education

Problem‐based learning and medical student radiology teaching

Subramaniam, RM, Scally, P, Gibson, R·2004·Australasian Radiology

Abstract

Summary: The present study describes some practical advantages and disadvantages of problem‐based learning (PBL), and makes suggestions to improve PBL radiology teaching of medical students.

Integrity signals

Registry

Crossref · 10.1111/j.0004-8461.2004.01317.x

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Subramaniam, R., Scally, P., & Gibson, R.
Affiliations
The Royal Melbourne Hospital (AU)
Venue
Australasian Radiology
Publisher
Wiley
Published
2004-09
Volume
48
Issue
3
Pages
335-338
ISSN
  • 0004-8461 (ISSN-L)
  • 1440-1673
OpenAlex
W1964759633
Cited by
32
References
6
Citations by year
2025: 1 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 1 · 2015: 4 · 2014: 1 · 2013: 2 · 2012: 2
FWCI
8.60
Type
journal article
Language
en
Open access
closed
Locations
  • Australasian Radiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Education › Problem and Project Based Learning
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
Keywords
problem-based learning, radiology education, medical students, teaching methods
MeSH terms
Humans, Internship and Residency, Radiology, Cohort Studies, Problem-Based Learning

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review