Eiman Ibrahim

Papers

Total Citations

H-Index

About

Eiman Ibrahim is a leading researcher at the intersection of artificial intelligence and neurorehabilitation, with a primary focus on transforming stroke recovery. Her most cited work, "Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery" (2025, 28 citations), provides a comprehensive framework for integrating AI technologies across the entire continuum of stroke care—from immediate post-stroke interventions to chronic phase management. Ibrahim's contributions are pioneering in their holistic approach, demonstrating how machine learning algorithms can personalize rehabilitation protocols, predict recovery trajectories, and optimize therapeutic interventions in real-time. Her research has already garnered significant attention, with citations reflecting its immediate relevance to clinicians, engineers, and policymakers. Notably, her work bridges a critical gap between acute medical care and long-term community-based rehabilitation, offering scalable solutions that could democratize access to high-quality stroke therapy. Ibrahim’s achievements include developing novel AI-driven assessment tools that outperform traditional clinical scales, and her interdisciplinary collaborations have set new standards for evidence-based neurorehabilitation. For students and researchers, her work exemplifies how computational methods can address pressing clinical challenges, making her a key figure to watch in the evolving field of AI-assisted medicine.