Jacinta Sheehan

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About

Jacinta Sheehan is a leading researcher at the intersection of artificial intelligence and neurorehabilitation, with a primary focus on stroke recovery and rehabilitation science. Her most-cited work, "AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI" (2024, 47 citations), represents a landmark contribution that systematically maps how AI technologies—including sensor-based systems and machine learning algorithms—are transforming post-stroke care. Sheehan’s major contribution lies in demonstrating how AI can enhance the precision, efficiency, and personalization of rehabilitation protocols, moving beyond traditional one-size-fits-all approaches. Her scoping review not only synthesizes a rapidly growing field but also identifies critical gaps, setting a rigorous agenda for future research. By bridging computational methods with clinical practice, Sheehan has positioned herself at the forefront of a paradigm shift in stroke rehabilitation. Her work is particularly notable for its translational impact, offering a roadmap for integrating AI tools into routine clinical workflows to improve patient outcomes. With her research gaining traction in both rehabilitation medicine and AI communities, Sheehan is shaping how we understand and implement technology-driven recovery interventions for one of the world’s leading causes of long-term disability.