Rubim Santos

Papers

Total Citations

H-Index

About

Rubim Santos is a researcher at the forefront of rehabilitation technology, specializing in the integration of auxiliary systems and artificial intelligence to enhance home-based recovery. His most-cited work, "Usage of Auxiliary Systems and Artificial Intelligence in Home-Based Rehabilitation" (2022), has garnered 7 citations, establishing a foundational review of the hardware and software factors that influence rehabilitation efficacy outside clinical settings. Santos’s major contribution lies in systematically identifying the technological barriers and enablers—from sensor accuracy to AI-driven feedback loops—that determine patient outcomes. By synthesizing these elements, he provides a critical roadmap for developing more accessible, adaptive, and effective home rehabilitation tools. His research bridges engineering and clinical practice, offering actionable insights for designing systems that improve patient engagement and recovery trajectories. Santos’s work is particularly notable for its forward-looking perspective, anticipating how emerging AI capabilities can personalize therapy and reduce healthcare burdens. For students and researchers, his profile exemplifies how targeted technological reviews can shape the future of remote healthcare, making rehabilitation both smarter and more inclusive.