Project Coordinators: Pr. Rochdi Messoussi / Pr. Anass Nouri ( Ibn Tofail University)
Description:
This project aims to detect intracranial aneurysms to assist neuroradiologists in diagnostics using machine learning techniques. The project’s originality lies in developing and using a mathematical model to generate synthetic 3D brain images similar to human brains, which will enhance the accuracy of aneurysm detection. This detection will allow for the automatic quantification of aneurysm size, monitoring of its progression, and prediction of its rupture.
Visuals:
Project Period: January 2023 – January 2026
Funding Partners:
- University of Nantes
- Mohammed V University
Expected Outcomes:
- A detection approach for aneurysms using volumetric images.
- A detection approach for aneurysms using multi-centric images.
- A turnkey aneurysm detection software.
Activities Completed:
- Submission of a scientific paper to a conference.
- Scientific meetings.
Scientific, Environmental, and Economic Impact:
- Improved precision in neuroradiologists’ medical care.
- Establishment of scientific collaborations between university hospitals (CHUs) and universities.
- Leveraging artificial intelligence to solve medical challenges.