Applying Machine Learning to Fetal Echocardiograms: A Novel Method for Predicting Critical Coarctation of the Aorta
- DOI
- 10.1016/j.echo.2026.04.016
- Published
- 2026-09
- Container
- Journal of the American Society of Echocardiography
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.echo.2026.04.016,
title = {Applying Machine Learning to Fetal Echocardiograms: A Novel Method for Predicting Critical Coarctation of the Aorta},
author = {Robert McRae and Matthew J. Magoon and Kathryn Virk and Aaron Phillips and Malika Waschman and Kaitlyn Freeman and Shiraz Maskatia and Nelangi Pinto and Patrick M. Boyle and Bhawna Arya},
year = {2026},
journal = {Journal of the American Society of Echocardiography},
doi = {10.1016/j.echo.2026.04.016},
url = {https://doi.org/10.1016/j.echo.2026.04.016}
}RIS
TY - JOUR TI - Applying Machine Learning to Fetal Echocardiograms: A Novel Method for Predicting Critical Coarctation of the Aorta AU - Robert McRae AU - Matthew J. Magoon AU - Kathryn Virk AU - Aaron Phillips AU - Malika Waschman AU - Kaitlyn Freeman AU - Shiraz Maskatia AU - Nelangi Pinto AU - Patrick M. Boyle AU - Bhawna Arya PY - 2026 JO - Journal of the American Society of Echocardiography DO - 10.1016/j.echo.2026.04.016 UR - https://doi.org/10.1016/j.echo.2026.04.016 ER -
APA
McRae, R., Magoon, M. J., Virk, K., Phillips, A., Waschman, M., Freeman, K., Maskatia, S., Pinto, N., Boyle, P. M., & Arya, B. (2026). Applying Machine Learning to Fetal Echocardiograms: A Novel Method for Predicting Critical Coarctation of the Aorta. Journal of the American Society of Echocardiography. https://doi.org/10.1016/j.echo.2026.04.016
Source records
- crossref · retrieved 2026-09-26T19:53:12.768Z