Health AI Central
Share:
Peer-Reviewed Publication
Ultrasound Obstet Gynecol2026May 23, 2026Letter

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

R Besson1, N Fries2, Y Oyelese3,4,5, A Khalil6,7,8, J Stirnemann9, Y Ville9,
1Sonio, Paris, France.
2Imagyn'Echo, Montpellier, France.
3Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
4Harvard Medical School, Boston, MA, USA.
5Fetal Care and Surgery Center, Department of Surgery, Boston Children's Hospital, Boston, MA, USA.
6Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK.
7Fetal Medicine Unit, Liverpool Women's Hospital, Liverpool, UK.
8Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK.
9Obstetrics and Maternal-Fetal Medicine, Necker-Enfants Malades Hospital, AP-HP and EA7328 Université de Paris, IMAGINE Institute, Paris, France.
PubMed DOI

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.