TRI-PLAN: A deep learning-based automated assessment framework for right heart assessment in transcatheter tricuspid valve replacement planning.
- DOI
- 10.1016/j.ijcard.2025.133732
- Published
- 2025 Dec 15
- Container
- International journal of cardiology
- Publisher
- Not recorded
- Open access
- no
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.ijcard.2025.133732,
title = {TRI-PLAN: A deep learning-based automated assessment framework for right heart assessment in transcatheter tricuspid valve replacement planning.},
author = {Yang T and Wang Y and Zhu G and Liu W and Cao J and Liu Y and Lu F and Yang J},
year = {2025},
journal = {International journal of cardiology},
doi = {10.1016/j.ijcard.2025.133732},
url = {https://doi.org/10.1016/j.ijcard.2025.133732}
}RIS
TY - JOUR TI - TRI-PLAN: A deep learning-based automated assessment framework for right heart assessment in transcatheter tricuspid valve replacement planning. AU - Yang T AU - Wang Y AU - Zhu G AU - Liu W AU - Cao J AU - Liu Y AU - Lu F AU - Yang J PY - 2025 JO - International journal of cardiology DO - 10.1016/j.ijcard.2025.133732 UR - https://doi.org/10.1016/j.ijcard.2025.133732 ER -
APA
T, Y., Y, W., G, Z., W, L., J, C., Y, L., F, L., & J, Y. (2025). TRI-PLAN: A deep learning-based automated assessment framework for right heart assessment in transcatheter tricuspid valve replacement planning.. International journal of cardiology. https://doi.org/10.1016/j.ijcard.2025.133732
Source records
- pubmed · retrieved 2026-11-10T12:42:22.373Z
- europe-pmc · retrieved 2026-11-10T12:42:22.380Z