Assess the quality of obstetrical ultrasound of prenatally misdiagnosed congenital heart malformations: the utility of AI models at a glance
Objective.To assess the performance of the Deep Learning (DL) models in evaluating the completeness and quality of 2nd trimester ultrasound scans reports in cases of prenatal misdiagnosed congenital heart defect (CHD).
Authors
- E. Quarello (ORCID: https://orcid.org/0000-0002-1479-7861)
- E. Corno
- I. Voznyuk
- C. Dupont (ORCID: https://orcid.org/0000-0003-3026-3090)
- T. Ghi
- A. Dall'Asta
Publication Details
- Journal
- Italian Journal of Gynaecology and Obstetrics
- Published
- 2024-11-01
- DOI
- https://doi.org/10.36129/jog.2024.s167
- Primary Topic
- Congenital Heart Disease Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00