Work

Assess the quality of obstetrical ultrasound of prenatally misdiagnosed congenital heart malformations: the utility of AI models at a glance

Year: 2024

Type: conference-abstract

Abstract: 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).

Source: Italian Journal of Gynaecology and Obstetrics

DOI: 10.36129/jog.2024.s167

Authors: E. Corno, C. Dupont, I. Voznyuk, A. Dall’asta, T. Ghi, E. Quarello

Institutions: University of Parma, Hôpital Saint Joseph

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4404276098

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