A deep learning-based framework for the malignancy analysis of thyroid lesions in contrast-enhanced ultrasound videos.
- DOI
- 10.1016/j.artmed.2026.103500
- Published
- 2026 Nov
- Container
- Artificial intelligence in medicine
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2026.103500,
title = {A deep learning-based framework for the malignancy analysis of thyroid lesions in contrast-enhanced ultrasound videos.},
author = {Yang A and Li L and He R and Zhou X and Zheng C and Xu G and Ren J and Cui X and Wu X},
year = {2026},
journal = {Artificial intelligence in medicine},
doi = {10.1016/j.artmed.2026.103500},
url = {https://doi.org/10.1016/j.artmed.2026.103500}
}RIS
TY - JOUR TI - A deep learning-based framework for the malignancy analysis of thyroid lesions in contrast-enhanced ultrasound videos. AU - Yang A AU - Li L AU - He R AU - Zhou X AU - Zheng C AU - Xu G AU - Ren J AU - Cui X AU - Wu X PY - 2026 JO - Artificial intelligence in medicine DO - 10.1016/j.artmed.2026.103500 UR - https://doi.org/10.1016/j.artmed.2026.103500 ER -
APA
A, Y., L, L., R, H., X, Z., C, Z., G, X., J, R., X, C., & X, W. (2026). A deep learning-based framework for the malignancy analysis of thyroid lesions in contrast-enhanced ultrasound videos.. Artificial intelligence in medicine. https://doi.org/10.1016/j.artmed.2026.103500
Source records
- pubmed · retrieved 2026-09-26T00:57:54.769Z