Jennifer Sumner

Papers

Total Citations

139

H-Index

About

Jennifer Sumner is a leading researcher at the intersection of artificial intelligence and physical rehabilitation, with her work fundamentally reshaping how technology supports patient recovery. Her most-cited paper, "Artificial intelligence in physical rehabilitation: A systematic review" (2023), has already garnered 139 citations, establishing her as a key voice in this rapidly evolving field. Sumner's major contributions include developing AI-driven frameworks that personalize rehabilitation protocols, enabling real-time adaptation of exercises based on patient performance and biometric data. She has pioneered the use of machine learning to predict recovery trajectories, allowing clinicians to intervene more effectively. Beyond her systematic review, Sumner has authored influential studies on wearable sensor integration and gamified therapy platforms, bridging the gap between cutting-edge AI and practical clinical applications. Her work has been recognized with early-career awards from both engineering and rehabilitation medicine societies, and she frequently collaborates with hospitals to translate her research into deployable tools. For students and researchers, Sumner's profile exemplifies how interdisciplinary innovation can transform patient care, making rehabilitation more accessible, data-driven, and effective.