From zero-shot to fine-tuning: optimize large language models for error detection of ultrasound reports.
- DOI
- 10.1186/s13244-026-02394-2
- Published
- 2026 Sep 5
- Container
- Insights into imaging
- 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:10.1186/s13244-026-02394-2,
title = {From zero-shot to fine-tuning: optimize large language models for error detection of ultrasound reports.},
author = {Lai M and Zhang J and Lv Y and Hou C and Wang C and Li F and Xu S and Du M and Wei M and Xu D and Sun L},
year = {2026},
journal = {Insights into imaging},
doi = {10.1186/s13244-026-02394-2},
url = {https://doi.org/10.1186/s13244-026-02394-2}
}RIS
TY - JOUR TI - From zero-shot to fine-tuning: optimize large language models for error detection of ultrasound reports. AU - Lai M AU - Zhang J AU - Lv Y AU - Hou C AU - Wang C AU - Li F AU - Xu S AU - Du M AU - Wei M AU - Xu D AU - Sun L PY - 2026 JO - Insights into imaging DO - 10.1186/s13244-026-02394-2 UR - https://doi.org/10.1186/s13244-026-02394-2 ER -
APA
M, L., J, Z., Y, L., C, H., C, W., F, L., S, X., M, D., M, W., D, X., & L, S. (2026). From zero-shot to fine-tuning: optimize large language models for error detection of ultrasound reports.. Insights into imaging. https://doi.org/10.1186/s13244-026-02394-2
Source records
- pubmed · retrieved 2026-09-26T03:04:25.019Z