Bias in <scp>AI</scp> models for fetal cardiac screening: the consequences of training predominantly on normal anatomy

Authors

Y. Oyelese
Y. Ville
A. Khalil (ORCID: https://orcid.org/0000-0003-2802-7670)
Collaborators
J. Stirnemann
N. Fries (ORCID: https://orcid.org/0000-0001-5365-9819)
R. Besson

Institutions

University of London (GB)
Hôpital Necker-Enfants Malades (FR)
Boston Children's Hospital (US)
Beth Israel Deaconess Medical Center (US)
Harvard University (US)
University of Liverpool (GB)
St George's, University of London (GB)
St George’s University Hospitals NHS Foundation Trust (GB)
Institut Necker Enfants Malades (FR)
Liverpool Women's Hospital (GB)

Publication Details

Journal: Ultrasound in Obstetrics and Gynecology
Published: 2026-05-23
DOI: https://doi.org/10.1002/uog.70236
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Bias in AI models for fetal cardiac screening: the consequences of training predominantly on normal anatomy

Y. Oyelese, Y. Ville, A. Khalil, Collaborators et al.

May 23, 2026

Ultrasound in Obstetrics and Gynecology

Artificial Intelligence in Healthcare and Education

article

Bias in AI models for fetal cardiac screening: the consequences of training predominantly on normal anatomy

Y. Oyelese, Y. Ville, A. Khalil, Collaborators, J. Stirnemann, N. Fries, R. Besson

May 23, 2026article en

Abstract

No abstract available for this paper.

Ultrasound in Obstetrics and Gynecology

University of London (GB), Hôpital Necker-Enfants Malades (FR), Boston Children's Hospital (US), Beth Israel Deaconess Medical Center (US), Harvard University (US), University of Liverpool (GB), St George's, University of London (GB), St George’s University Hospitals NHS Foundation Trust (GB), Institut Necker Enfants Malades (FR), Liverpool Women's Hospital (GB)

Openalex Percentile: Top 7%

Artificial Intelligence in Healthcare and Education

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.