Artificial Intelligence technologies for assessing skin lesions for referral on the urgent suspected cancer pathway to detect benign lesions and reduce secondary care specialist appointments: early value assessment.
- DOI
- 10.3310/gjms0317
- Published
- 2026 Feb
- Container
- Health technology assessment (Winchester, England)
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.3310/gjms0317,
title = {Artificial Intelligence technologies for assessing skin lesions for referral on the urgent suspected cancer pathway to detect benign lesions and reduce secondary care specialist appointments: early value assessment.},
author = {Walton M and Llewellyn A and Uphoff E and Lord J and Harden M and Hodgson R and Simmonds M},
year = {2026},
journal = {Health technology assessment (Winchester, England)},
doi = {10.3310/gjms0317},
url = {https://doi.org/10.3310/gjms0317}
}RIS
TY - JOUR TI - Artificial Intelligence technologies for assessing skin lesions for referral on the urgent suspected cancer pathway to detect benign lesions and reduce secondary care specialist appointments: early value assessment. AU - Walton M AU - Llewellyn A AU - Uphoff E AU - Lord J AU - Harden M AU - Hodgson R AU - Simmonds M PY - 2026 JO - Health technology assessment (Winchester, England) DO - 10.3310/gjms0317 UR - https://doi.org/10.3310/gjms0317 ER -
APA
M, W., A, L., E, U., J, L., M, H., R, H., & M, S. (2026). Artificial Intelligence technologies for assessing skin lesions for referral on the urgent suspected cancer pathway to detect benign lesions and reduce secondary care specialist appointments: early value assessment.. Health technology assessment (Winchester, England). https://doi.org/10.3310/gjms0317
Source records
- pubmed · retrieved 2026-09-27T01:10:05.096Z