Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment
- DOI
- 10.3310/gjcf0822
- Published
- 2026-05
- Container
- Health Technology Assessment
- Publisher
- National Institute for Health and Care Research
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3310/gjcf0822,
title = {Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment},
author = {Caroline Farmer and Helen Coelho and Madhusubramanian Muthukumar and Sophie Robinson and Robert Meertens and Obioha C Ukoumunne and Val Santo and Niamh Gale and Jonathan T Evans and Jonathan P Evans and Jenny Lowe and GJ Melendez-Torres and Edward CF Wilson},
year = {2026},
journal = {Health Technology Assessment},
doi = {10.3310/gjcf0822},
url = {https://doi.org/10.3310/gjcf0822}
}RIS
TY - JOUR TI - Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment AU - Caroline Farmer AU - Helen Coelho AU - Madhusubramanian Muthukumar AU - Sophie Robinson AU - Robert Meertens AU - Obioha C Ukoumunne AU - Val Santo AU - Niamh Gale AU - Jonathan T Evans AU - Jonathan P Evans AU - Jenny Lowe AU - GJ Melendez-Torres AU - Edward CF Wilson PY - 2026 JO - Health Technology Assessment DO - 10.3310/gjcf0822 UR - https://doi.org/10.3310/gjcf0822 ER -
APA
Farmer, C., Coelho, H., Muthukumar, M., Robinson, S., Meertens, R., Ukoumunne, O. C., Santo, V., Gale, N., Evans, J. T., Evans, J. P., Lowe, J., Melendez-Torres, G., & Wilson, E. C. (2026). Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment. Health Technology Assessment. https://doi.org/10.3310/gjcf0822
Source records
- crossref · retrieved 2026-09-25T07:34:42.205Z