Jorge Escalante-Gaytán

Exploratory Non-invasive Estimation of Cervical Dilation from Electrohysterography and Maternal Data: A Machine-Learning Proof-of-Concept Study

Abstract Cervical dilation during labor is commonly assessed through repeated vaginal examinations, which can be uncomfortable, depend on the observer, and are not suitable for continuous monitoring. This pilot study explored whether machine-learning regression could retrospectiv...