Deep learning-derived biological age from preoperative chest radiographs predicts mortality following surgical and transcatheter procedures for structural heart disease beyond EuroSCORE II.
- DOI
- 10.1093/ehjdh/ztag112
- Published
- 2026 Aug
- Container
- European heart journal. Digital health
- 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:10.1093/ehjdh/ztag112,
title = {Deep learning-derived biological age from preoperative chest radiographs predicts mortality following surgical and transcatheter procedures for structural heart disease beyond EuroSCORE II.},
author = {Stambollxhiu E and Kumpf M and Bonk MN and Adams LC and Makowski M and Hadamitzky M and Krane M and Bressem KK and Deutsch O},
year = {2026},
journal = {European heart journal. Digital health},
doi = {10.1093/ehjdh/ztag112},
url = {https://doi.org/10.1093/ehjdh/ztag112}
}RIS
TY - JOUR TI - Deep learning-derived biological age from preoperative chest radiographs predicts mortality following surgical and transcatheter procedures for structural heart disease beyond EuroSCORE II. AU - Stambollxhiu E AU - Kumpf M AU - Bonk MN AU - Adams LC AU - Makowski M AU - Hadamitzky M AU - Krane M AU - Bressem KK AU - Deutsch O PY - 2026 JO - European heart journal. Digital health DO - 10.1093/ehjdh/ztag112 UR - https://doi.org/10.1093/ehjdh/ztag112 ER -
APA
E, S., M, K., MN, B., LC, A., M, M., M, H., M, K., KK, B., & O, D. (2026). Deep learning-derived biological age from preoperative chest radiographs predicts mortality following surgical and transcatheter procedures for structural heart disease beyond EuroSCORE II.. European heart journal. Digital health. https://doi.org/10.1093/ehjdh/ztag112
Source records
- pubmed · retrieved 2026-09-26T11:15:45.916Z