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Fetal Assessment Suite (FetAS): a web-based platform for automatic fetal MRI analysis using AI
Alejo Costanzo1,2, Adam Lim1,2, Michael Pereira1
1Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada.
Scientific Reports
|December 16, 2025
Summary
The Fetal Assessment Suite (FetAS) uses AI to automate fetal MRI analysis, reducing interpretation time and improving access to prenatal diagnostics. This technology enhances care quality and supports research in maternal-fetal imaging.
Area of Science:
- Medical Imaging
- Artificial Intelligence
- Obstetrics
Background:
- Fetal MRI offers detailed 3D imaging but requires specialized expertise, leading to delays.
- Current interpretation is labor-intensive and limits accessibility, especially in underserved regions.
Purpose of the Study:
- To introduce the Fetal Assessment Suite (FetAS), a web-based platform for streamlined fetal MRI analysis.
- To leverage AI to automate key interpretation tasks and reduce reliance on expert radiologists.
Main Methods:
- Development of a secure, web-based platform (FetAS) integrating AI models.
- Automation of artifact detection, motion correction, segmentation, and positional classification.
- Consolidation of tools into a user-friendly interface.
Main Results:
- FetAS automates critical fetal MRI analysis tasks, reducing interpretation burden.
- The platform enhances diagnostic efficiency and supports timely clinical decisions.
- FetAS promotes equitable access to advanced prenatal care.
Conclusions:
- FetAS streamlines fetal MRI interpretation, making it more accessible and efficient.
- The platform serves as a diagnostic tool and a foundation for advancing maternal-fetal imaging.
- FetAS contributes to expanding high-quality prenatal care globally.
