Yuanchao Li

University of Edinburgh

Papers

1

Total Citations

11

H-Index

1

About

Yuanchao Li is an emerging researcher working at the intersection of human-computer interaction, speech processing, and healthcare technology. His work focuses on leveraging conversational AI and robotic systems to address pressing clinical challenges, most notably the early detection of Alzheimer's Disease and cognitive decline. Li's most recognized contribution, "Alzheimer's Dementia Detection through Spontaneous Dialogue with Proactive Robotic Listeners" (2022, 11 citations), demonstrates his innovative approach of deploying proactive robotic listeners to elicit and analyze spontaneous speech from patients — a non-invasive, accessible alternative to traditional diagnostic methods. By bridging computer science with cognitive health research, Li's work addresses one of the most urgent challenges posed by an aging global population, offering scalable tools that could assist clinicians in earlier and more efficient diagnosis. His research reflects a broader commitment to designing intelligent systems that are not only technically sophisticated but also meaningfully human-centered. Though early in his career, Li's interdisciplinary contributions position him as a promising voice in the growing field of AI-driven healthcare, where the demand for accessible and automated diagnostic solutions continues to intensify.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Alzheimer's Dementia Detection through Spontaneous Dialogue with Proactive Robotic Listeners
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Edinburgh

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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