Objective
Childbirth-related complications represent a major global health concern, significantly affecting maternal outcomes. Every year, at least 40 million women experience long-term complications caused by childbirth, underscoring the urgency of improved preventive strategies. In clinical practice, healthcare professionals must make decisions under time pressure while managing increasingly complex cases and diverse patient profiles, highlighting the need for advanced, evidence-based decision support tools.
AI4BirthCare is a data-driven decision support system designed to predict childbirth-related injuries. By integrating patient-specific data 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, support early detection, strengthen obstetric decision-making, and lower the long-term economic burden of maternal morbidity. Overall, AI4BirthCare seeks to reduce preventable maternal injuries and improve long-term health outcomes for women on a global scale.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been human-validated.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been human-validated.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
See all projects funded under this programme -
HORIZON.3.1.3 - Additional EIC activities
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC - HORIZON EIC Grants
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2026-AIC
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
4200-465 Porto
Portugal
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.