Leveraging natural language processing artificial intelligence for automated data extraction of ejection fraction and strain from cardiovascular imaging reports.
- DOI
- 10.1016/j.ahjo.2026.100799
- Published
- 2026 Jul
- Container
- American heart journal plus : cardiology research and practice
- 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:10.1016/j.ahjo.2026.100799,
title = {Leveraging natural language processing artificial intelligence for automated data extraction of ejection fraction and strain from cardiovascular imaging reports.},
author = {Brown SA and BagheriMohamadiPour M and Sparapani R and Osinski K and Zhang J and Echefu G and Stowe I and Hamid A and Kothari A and Cardio-Oncology Artificial Intelligence Informatics Precision \& Equity (CAIPE) Research Team Investigators},
year = {2026},
journal = {American heart journal plus : cardiology research and practice},
doi = {10.1016/j.ahjo.2026.100799},
url = {https://doi.org/10.1016/j.ahjo.2026.100799}
}RIS
TY - JOUR TI - Leveraging natural language processing artificial intelligence for automated data extraction of ejection fraction and strain from cardiovascular imaging reports. AU - Brown SA AU - BagheriMohamadiPour M AU - Sparapani R AU - Osinski K AU - Zhang J AU - Echefu G AU - Stowe I AU - Hamid A AU - Kothari A AU - Cardio-Oncology Artificial Intelligence Informatics Precision & Equity (CAIPE) Research Team Investigators PY - 2026 JO - American heart journal plus : cardiology research and practice DO - 10.1016/j.ahjo.2026.100799 UR - https://doi.org/10.1016/j.ahjo.2026.100799 ER -
APA
SA, B., M, B., R, S., K, O., J, Z., G, E., I, S., A, H., A, K., & Investigators, C. A. I. I. P. &. E. (. R. T. (2026). Leveraging natural language processing artificial intelligence for automated data extraction of ejection fraction and strain from cardiovascular imaging reports.. American heart journal plus : cardiology research and practice. https://doi.org/10.1016/j.ahjo.2026.100799
Source records
- pubmed · retrieved 2026-09-26T10:07:34.873Z