Dr. Jamil Ahmed

Predicting Brain Aneurysm Ruptures with Advanced AI and Physics-Informed Models

Brain aneurysms are small bulges in blood vessels within the brain that can rupture unexpectedly, often leading to fatal strokes. Every year in the UAE, 8,000–10,000 patients are affected, with half of them under age 45. Early and accurate rupture prediction can significantly improve survival rates, reduce unnecessary surgical procedures, and optimize the use of healthcare resources.

This project aims to develop an AI-powered tool that helps doctors assess the risk of rupture before it happens. It integrates multimodal patient data and physics-informed neural networks to predict aneurysm ruptures in digital subtraction angiography (DSA) and magnetic resonance angiography (MRA) scans.

The research combines three advanced technologies:

1. Medical imaging AI to analyze complex brain scans,

2. Clinical text analysis to draw insights from doctors’ notes and medical literature, and

3. Physics-informed models to simulate blood flow and vessel wall stress.

This joint venture between UAEU and the University of Michigan, USA, ensures global knowledge exchange and positions UAEU at the forefront of AI-driven healthcare research in brain image analysis. By providing explainable and trustworthy predictions, the project has the potential to revolutionize clinical decision-making in neurovascular care.