Sumaiyah Obaid

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About

Sumaiyah Obaid is a rising researcher at the intersection of artificial intelligence and neurorehabilitation, with a focused interest in leveraging technology to improve outcomes for stroke survivors. Her most cited work, a 2025 mini-review on integrating AI in stroke rehabilitation, has already garnered 4 citations, signaling early impact in this rapidly evolving field. In this paper, Obaid critically examines the limitations of current rehabilitation practices—namely the lack of personalized, adaptive treatment—and highlights how AI-driven tools can offer transformative solutions. By synthesizing recent advances, she outlines a future where machine learning algorithms tailor therapy in real-time, optimizing motor recovery and patient engagement. Her contribution lies in bridging the gap between computational innovation and clinical application, making complex AI concepts accessible to rehabilitation specialists. Obaid’s work is particularly notable for its forward-looking perspective, identifying both the promise and the challenges of widespread AI adoption in clinical settings. As an emerging voice in digital health, her research is poised to influence how next-generation rehabilitation protocols are designed, offering hope for more effective, data-driven recovery pathways.