Development and Evaluation of Deep Learning Models for Cardiotocography Interpretation
Nicole Chiou,
Nichole Young-Lin,
Christopher Kelly
et al.
Abstract:The inherent variability in the visual interpretation of cardiotocograms (CTGs) by obstetric clinical experts, both intra- and inter-observer, presents a substantial challenge in obstetric care. In response, we investigate automated CTG interpretation as a potential solution to enhance the early detection of fetal hypoxia during labor, which has the potential to reduce unnecessary operative interventions and improve overall maternal and neonatal care. This study employs deep learning techniques to reduce the s… Show more
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