Deep learning-based model for difficult transfemoral access prediction compared with human assessment in stroke thrombectomy.
- DOI
- 10.1136/jnis-2024-021718
- Published
- 2025 May 22
- Container
- Journal of neurointerventional surgery
- 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:10.1136/jnis-2024-021718,
title = {Deep learning-based model for difficult transfemoral access prediction compared with human assessment in stroke thrombectomy.},
author = {Canals P and Garcia-Tornel A and Requena M and Jabłońska M and Li J and Balocco S and Díaz O and Tomasello A and Ribo M},
year = {2025},
journal = {Journal of neurointerventional surgery},
doi = {10.1136/jnis-2024-021718},
url = {https://doi.org/10.1136/jnis-2024-021718}
}RIS
TY - JOUR TI - Deep learning-based model for difficult transfemoral access prediction compared with human assessment in stroke thrombectomy. AU - Canals P AU - Garcia-Tornel A AU - Requena M AU - Jabłońska M AU - Li J AU - Balocco S AU - Díaz O AU - Tomasello A AU - Ribo M PY - 2025 JO - Journal of neurointerventional surgery DO - 10.1136/jnis-2024-021718 UR - https://doi.org/10.1136/jnis-2024-021718 ER -
APA
P, C., A, G., M, R., M, J., J, L., S, B., O, D., A, T., & M, R. (2025). Deep learning-based model for difficult transfemoral access prediction compared with human assessment in stroke thrombectomy.. Journal of neurointerventional surgery. https://doi.org/10.1136/jnis-2024-021718
Source records
- pubmed · retrieved 2026-09-26T04:31:58.208Z