Prediction of maternal and infant outcomes from longitudinal electronic health records with a Mother-Child AI agent — Stanford
Nature
Prediction of maternal and infant outcomes from longitudinal electronic health records with a Mother-Child AI agent — Stanford
An LLM-based clinical assistant that orchestrates multiple tools to integrate sequential electronic health record data can forecast maternal and infant conditions, opening a window of opportunity to enhance risk-stratified care for mothers and infants.
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