Applications of artificial intelligence in obstetrics
Ho Yeon Kim, Geum Joon Cho, Han Sung Kwon
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.
Topics & Concepts
MedicineUltrasonographyCardiotocographyMagnetic resonance imagingMedical physicsHealth professionalsArtificial intelligenceObstetricsHealth carePregnancyRadiologyComputer scienceFetusEconomic growthBiologyEconomicsGeneticsArtificial Intelligence in Healthcare and EducationFetal and Pediatric Neurological DisordersAutopsy Techniques and Outcomes