Prediction of maternal and infant outcomes from longitudinal electronic health records with a Mother-Child AI agent

According to a study published in Nature Medicine, a clinical assistant using a large language model (LLM) can forecast maternal and infant conditions by integrating sequential electronic health record data. The findings suggest a potential opportunity for improved healthcare outcomes.

A new AI agent has been developed to predict maternal and infant outcomes from longitudinal electronic health records.