article · International Journal of Gynecology & Obstetrics

Evaluating the efficacy and diagnostic reliability of computer vision artificial intelligence algorithm in automating anatomical classification for second‐trimester fetal anomaly ultrasound scans: A prospective cohort study

Hytham Atia
Somayya M. Sadek
Hisham Elgammal
Reda A. Ahmad
Tamer M. Abdul Aziz

2025Alexandria University

Abstract

BioticsAI-anatomyUNet-0.1-2022 demonstrated high diagnostic accuracy and improved workflow efficiency in anomaly scan interpretation. Its performance was robust across BMI levels, though caution is advised for complex planes such as 3VT and craniofacial views.

Research topics

Fetal and Pediatric Neurological Disorders
Prenatal Screening and Diagnostics
COVID-19 diagnosis using AI

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DOI: 10.1002/ijgo.70779

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