International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and 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, Reda A Ahmad, Hisham H Elgammal, Tamer M Abdul Aziz
Published: 202510.1002/ijgo.70779
Abstract
OBJECTIVE: To evaluate the diagnostic accuracy and workflow efficiency of BioticsAI-anatomyUNet-0.1-2022 software in identifying 18 standard fetal anatomical planes during mid-trimester ultrasound, and to assess the influence of maternal body mass in…
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