Thomas Storskog
Papers
1
Total Citations
5
H-Index
1
About
Dr. Thomas Storskog is a pioneering researcher at the intersection of machine learning, social robotics, and geriatric healthcare. His most notable contribution is the EACare project, an ambitious multi-disciplinary initiative that develops embodied robotic systems capable of administering neuropsychological tests to detect early signs of dementia, including Alzheimer’s disease. By integrating advanced machine learning algorithms with socially interactive robotics, Storskog’s work aims to create non-invasive, scalable tools for early cognitive assessment—a critical step in improving patient outcomes and reducing healthcare burdens. His seminal 2017 paper, “Machine Learning and Social Robotics for Detecting Early Signs of Dementia,” has garnered 5 citations and serves as a foundational reference for researchers exploring human-robot interaction in clinical settings. Storskog’s research uniquely bridges artificial intelligence, robotics, and neurology, offering a compassionate technological approach to one of aging societies’ most pressing challenges. His work continues to inspire innovations in assistive robotics and personalized medicine, positioning him as a key figure in the future of intelligent, empathetic healthcare systems.
Research Focus
Key Achievements
Top Papers
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