Geetha Kayambu

Papers

Total Citations

139

H-Index

About

Dr. Geetha Kayambu is a leading researcher in the intersection of artificial intelligence and physical rehabilitation, with a particular focus on leveraging technology to enhance patient outcomes. Her most cited work, a 2023 systematic review on artificial intelligence in physical rehabilitation, has garnered 139 citations, establishing her as a key voice in this rapidly evolving field. Dr. Kayambu’s major contributions include synthesizing evidence on AI-driven tools—such as machine learning algorithms and robotic systems—that personalize therapy, monitor progress, and improve motor recovery in patients with neurological and musculoskeletal conditions. Her research has been instrumental in bridging the gap between cutting-edge AI applications and clinical practice, offering a roadmap for integrating these technologies into rehabilitation protocols. Beyond this seminal review, Dr. Kayambu has published on topics like telerehabilitation and wearable sensors, further demonstrating her commitment to accessible, data-driven care. Her work not only highlights the transformative potential of AI in physical therapy but also underscores the importance of rigorous, evidence-based evaluation. For students and researchers, Dr. Kayambu’s scholarship serves as a vital resource for understanding how artificial intelligence can revolutionize rehabilitation science, making her a pivotal figure in this interdisciplinary domain.