Andreas Lydakis

Papers

Total Citations

H-Index

About

Andreas Lydakis is a researcher at the intersection of artificial intelligence and healthcare, with a primary focus on developing intelligent systems for neurorehabilitation. His most cited work, "A learning-based agent for home neurorehabilitation" (2017, 11 citations), introduces an artificially intelligent agent designed to promote and guide proper motor function recovery in home settings. This contribution addresses a critical gap in rehabilitation medicine: while structured, consistent practice is essential for recovery, most home programs lack the adaptive, responsive guidance of a clinician. Lydakis’s agent represents a novel approach to bridging this gap, leveraging AI to personalize and sustain patient engagement outside clinical environments. Though his citation count is still growing, his work is notable for its direct application to improving patient outcomes and its potential to reduce the burden on healthcare systems. By focusing on the practical deployment of learning-based systems in real-world therapeutic contexts, Lydakis is helping to shape the future of accessible, technology-driven rehabilitation.