SOURCE-LINKED INTELLIGENCE

An Innovative System to Improve Maternal Birth Outcomes

CORDIS · observation · Publication date unknown

ta collected during routine prenatal care, it delivers real-time risk assessments in the final weeks of pregnancy. Unlike traditional approaches, this solution combines biomechanical simulations with artificial intelligence (AI) to identify injury-prone regions and support optimized delivery strategies. The system is designed for seamless integration with existing hospital electronic health record systems through an intuitive interface. The primary objectives of AI4BirthCare are to inform obstetricians about patient-specific injury risks, identify likely pelvic injury areas, and predict delivery success. This approach aims to support more cautious delivery strategies, enable timely preventive actions, and guide targeted postpartum examinations, thereby improving maternal quality of life. Scientifically, the system represents a significant leap forward by integrating biomechanical modeling, machine learning (ML), and clinical data to enable more precise, patient-specific injury prediction than existing approaches. Societally, it has the potential to reduce preventable injuries, supp

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recordType

award

status

SIGNED

region

EU

value

300000

unit

EUR