In the FGR PODS project, we are developing an AI model that leverages multimodal data from pregnant women with early and severe fetal growth restriction. The AI model aims to integrate heterogeneous data sources, ultrasound imaging data, CTG (cardiotocography) signals, maternal blood pressure readings, and demographic information to generate individualized risk predictions and support clinical decision-making. The goal is to assist doctors in identifying the optimal timing for delivery intervention, thereby improving perinatal outcomes by minimizing the risks associated with both premature and delayed birth.

The project is part of the ERC Consolidator grant awarded to Dr. Wessel Ganzevoort. The description and objectives of the overarching project can be found in FGR PODS en SAVE FGR – tekleinebaby.nl