A novel artificial intelligence approach for the automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor.

Tullio Ghi F Conversano R Ramirez ZegarraP PisaniA Dall AstaA LanzoneWailam LauA VimercatiDominic-Gabriel IliescuI MappaGiuseppe RizzoS Casciaronull null

Published in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2021)

A ML-based algorithm for the automatic assessment of the fetal head position at TPU has been developed and can accurately differentiate between OA and non-OA positions. This algorithm has the potential to support not only obstetricians, but also midwives and accoucheurs in the clinical use of TPU. This article is protected by copyright. All rights reserved.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
knee osteoarthritis
optic nerve
human health
risk assessment