Applications of artificial intelligence in obstetrics

Abstract

Artificial intelligence, which has been applied as an innovative technology in multiple fields of healthcare, analyzes large amounts of data to assist in disease prediction, prevention, and diagnosis, as well as in patient monitoring. In obstetrics, artificial intelligence has been actively applied and integrated into our daily medical practice. This review provides an overview of artificial intelligence systems currently used for obstetric diagnostic purposes, such as fetal cardiotocography, ultrasonography, and magnetic resonance imaging, and demonstrates how these methods have been developed and clinically applied.

Keywords: Artificial intelligence; Fetal cardiotocography; Magnetic resonance imaging; Obstetrics; Ultrasonography.

Fig. 1.. Artificial intelligence–based automatic amniotic fluid measurement program using deep learning.

The amniotic fluid part is automatically extracted from the given image and the deepest vertical depth of the amniotic fluid part; that is, the amniotic fluid index is automatically calculated.