AI RESEARCH
Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health
arXiv CS.LG
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ArXi:2410.09635v2 Announce Type: replace Early detection of intrapartum risks enables timely interventions to prevent or mitigate adverse labor outcomes such as cerebral palsy. However, accurate automated systems to clinical decision-making during delivery are currently lacking. To address this gap, we propose Artificial Intelligence for Modeling and Explaining Neonatal Health (AIMEN), a deep learning framework that predicts adverse labor outcomes from maternal, fetal, obstetrical, and intrapartum factors while providing interpretable reasoning behind its predictions.