Eunice Kennedy Shriver National Institute of Child Health and Human Development 1R41HD117576-01A1

Accurate and actionable prediction of impending labor using deep learning on maternal physiological data

Development of a deep learning model to predict labor onset in real-time using maternal physiological data from wearable sensors, aiming to improve maternity care and reduce maternal morbidity and mortality.

Description

The project aims to develop a predictive tool for labor onset using artificial intelligence applied to physiological data from wearable sensors. The goal is to provide accurate, real-time predictions to improve maternity care and reduce maternal morbidity and mortality.

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