Di-Hua Luo

Papers

Total Citations

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About

Di-Hua Luo is a leading researcher at the intersection of human–robot interaction, cognitive health, and intelligent systems for aging populations. Their most-cited work, "Identifying Mild Cognitive Impairment by Using Human–Robot Interactions" (2021), has garnered 15 citations and represents a pioneering contribution to non-invasive, digital cognitive assessment. By leveraging robotic platforms to detect early signs of mild cognitive impairment (MCI)—a critical risk factor for dementia—Luo's research addresses the urgent global challenge of aging-related healthcare demand. This work exemplifies their broader focus on developing scalable, technology-driven tools that enable early diagnosis and intervention, potentially delaying the onset of dementia. Luo's contributions are notable for integrating robotics with clinical neuroscience, offering a compassionate, practical alternative to traditional screening methods. Their research not only advances the field of assistive robotics but also holds profound implications for public health, promising to improve quality of life for older adults worldwide. As a rising voice in gerontechnology, Luo continues to shape how intelligent systems can support cognitive health in an aging society.