Multinational Collaborative Framework for Artificial Intelligence in Gynaecology
The European Gynaecology AI Research Society (EGAIRS) is an international collaborative initiative designed to establish a large-scale, high-quality, multicentre data ecosystem to advance artificial intelligence (AI) research in gynaecology.
Through a federated, ethically governed, and academically driven infrastructure, EGAIRS enables the development, validation, and implementation of diagnostic, prognostic, and therapeutic AI models, supporting the transition toward precision medicine in women’s health.
INSIGHT
Despite rapid advances in AI, progress in gynaecology remains limited by:
Fragmented datasets across institutions
Small sample sizes insufficient for robust modelling
Lack of external validation
Underrepresentation of diverse populations
EGAIRS addresses these barriers by creating a collaborative research ecosystem that enables:
Aggregation of large-scale datasets
Standardisation of clinical data
Cross-border validation
High-impact translational research
DATA DESIGN
Design: Multicentre, multinational observational research platform
Structure: Federated registry with project-based sub-studies
Scope: All subspecialties within gynaecology
DATA ARCHITECTURE
EGAIRS adopts a federated data architecture, ensuring:
Data remains within the originating institution
Only de-identified or aggregated data is shared
Therefore, local Hospital System yields secure Local Node that delivers de-identified Dataset to EGAIRS Platform.
Strategic Objectives
Primary Objectives
Build a pan-European federated data network
Develop and externally validate AI-based predictive models
Enable individualised risk prediction and treatment strategies
Secondary Objectives
Promote standardisation in data collection
Facilitate high-impact publications
Support training and research capacity building
Enable access to large datasets for investigator-led research
Pillars
EGAIRS team present clinicians, researchers and data scientists with special interest in Gynaecology.
Global Network
Connect with elite institutions across Europe to share insights and foster multinational innovation.
Ethical AI
We prioritize patient safety and data privacy, ensuring that AI implementation in gynaecology follows the highest ethical standards.
Access standardized clinical datasets to train algorithms that improve surgical accuracy and diagnostic reliability worldwide.
Shared Data
