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. 2024 Sep 16;16(9):e69555. doi: 10.7759/cureus.69555

Table 1. AI-driven innovations transforming maternal health: applications and impact.

Source: [18,22-26]

AI Innovation Application in Maternal Health Impact/Benefits Example/Case Study
Predictive Analytics for Complications Early prediction of preeclampsia, gestational diabetes, and preterm labor Early intervention, improved maternal and fetal outcomes AI models predicting preeclampsia based on EHR data
AI-Powered Ultrasound Imaging Automated analysis of fetal images for detecting anomalies Increased accuracy and reduced need for specialized radiologists AI-based tools like Qure.ai for fetal growth monitoring
Telemedicine and AI Chatbots Virtual prenatal consultations and 24/7 AI-based support Improved access to care, especially in rural/underserved areas AI chatbots like Ada Health providing maternal care support
Wearable Sensors and AI Integration Monitoring maternal vitals and fetal movements Real-time health data tracking, personalized care recommendations AI-integrated wearables for continuous monitoring of vitals
AI in Genomic Analysis Screening for genetic conditions in the fetus Early detection of potential genetic disorders, better planning AI-driven genomic analysis platforms for prenatal screening
AI-Enhanced Postpartum Care Mental health monitoring and detection of postpartum depression Timely intervention reduced maternal mental health issues AI algorithms identifying early signs of postpartum depression