Intrapartum electronic fetal heart rate monitoring to predict acidemia at birth with the use of deep learning

EFM is used in the vast majority of US hospital births, but has significant limitations in achieving its intended goal of preventing intrapartum hypoxic-ischemic injury. Novel deep learning techniques can improve complex data processing and pattern recognition in medicine.

Source: American Journal of Obstetrics and Gynecology - April 23, 2024 Category: OBGYN Authors: Jennifer A. MCCOY, Lisa D. LEVINE, Guangya WAN, Corey Chivers, Joseph TEEL, William G. LA CAVA Tags: Original Research: Obstetrics Source Type: research