<scp>AI</scp> ‐Driven Analysis of the Fetal Left Ventricular Outflow Tract
Automated LVOT identification and criterion-based quality auditing achieved substantial-to-near-perfect agreement with expert review and may enable scalable quality assurance and targeted training in fetal cardiac screening.
Authors
- Camille Velly
- Julien Mancini (ORCID: https://orcid.org/0000-0001-9500-8598)
- Marta Bisanti
- Şifa Turan
- Edwin Quarello
- Ivan Voznyuk
- Antoine Lafouge
Institutions
- University of Maryland, Baltimore (US)
- Inserm (FR)
- Aix-Marseille Université (FR)
- Agostino Gemelli University Polyclinic (IT)
- Hôpital Saint Joseph (FR)
- Imagerie Médicale et Radiothérapie Drôme Ardèche (FR)
- Physiopathologie, diagnostic et traitements des maladies musculo-squelettiques (FR)
- Hôpital de la Timone (FR)
- Institut de Recherche pour le Développement (FR)
Publication Details
- Journal
- Journal of Ultrasound in Medicine
- Published
- 2026-03-11
- DOI
- https://doi.org/10.1002/jum.70230
- Citations
- 1
- Primary Topic
- Fetal and Pediatric Neurological Disorders
- Type
- article
- Field-Weighted Citation Impact
- 41.22