Are we too reliant on medical imaging?
Abstract
Imaging technology has revolutionised modern medicine. It is difficult to imagine a time when we practiced without it, but have we become too reliant, and should we be aiming for more judicious use of imaging services?
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Imaging overreliance has been documented primarily in trained clinicians who already possess foundational skills.
“Meshaka and Arthur's note that imaging overreliance has been documented primarily in trained clinicians who already possess foundational skills 19 .”
From AI-induced never-skilling in medical education (2026) · cites this paper as [19]
Cited by
Sorted by citations
AI-induced never-skilling in medical education
Ke, Y., Jin, L., Ong, J. C. L., Thirunavukarasu, A. J., Car, J., Cheung, C. Y., Tham, Y. C., Ting, D. S. W., Ong, M. E. H., Compton, S., et al. (2026) · Nature Medicine · doi:10.1038/s41591-026-04438-y · Cited by 35 · see citing works
- Authors
- Meshaka, R., & Arthurs, O. J.
- Affiliations
- Great Ormond Street Hospital (GB)
- Venue
- British Journal of Hospital Medicine
- Publisher
- IMR Press
- Published
- 2022-12-02
- Volume
- 83
- Issue
- 12
- Pages
- 1-3
- ISSN
- 0007-1064 (ISSN-L)
- 1750-8460
- 1759-7390
- OpenAlex
- W4312006709
- Cited by
- 1
- References
- 0
- Citations by year
- 2026: 1
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- British Journal of Hospital Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute for Health and Care Research (CDF-2017-10-037, ICA-CDRF-2017-03-053, NIHR-CS-012-002)
- Medical Research Council (MR/R002118/1)
- Topics
- Health Sciences › Health Professions › General Health Professions › Healthcare cost, quality, practices
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- diagnostic imaging, overuse of imaging, appropriateness of imaging
- MeSH terms
- Diagnostic Imaging, Humans, Radiography
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
