Wilson Tam
Papers
3
Total Citations
529
H-Index
3
About
Wilson Tam is a leading researcher at the intersection of artificial intelligence and healthcare, with a particular focus on bibliometric analysis and evidence synthesis. His most impactful work, "Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study" (2019), has garnered 458 citations, providing a comprehensive historical and global mapping of over 27,000 AI-in-medicine publications. Tam further refined this landscape through his application of Latent Dirichlet Allocation to model emerging research topics in AI for medicine, demonstrating methodological innovation in understanding the field's trajectory. Beyond AI, Tam has made significant contributions to geriatric care, notably through his systematic review and meta-analysis on the effectiveness of robot therapy for managing behavioral and psychological symptoms in dementia patients. His work bridges computational methods with clinical application, offering both macro-level perspectives on research trends and practical insights for patient care. Tam's research is essential reading for anyone interested in how AI is reshaping medicine and how technology can support aging populations.
Research Focus
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