Roger Ho
Papers
4
Total Citations
618
H-Index
4
About
Roger Ho is a prominent researcher whose work sits at the intersection of artificial intelligence, medicine, and bibliometric analysis. His scholarship has significantly advanced our understanding of how AI technologies are being applied across diverse clinical domains, including cardiovascular disease, cerebrovascular conditions, and diabetes management. Through rigorous bibliometric and content analysis methodologies, Ho has systematically mapped the global research landscape of AI in health and medicine, offering scholars and clinicians a comprehensive view of the field's evolution and trajectory. His most influential contribution, "Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study" (2019), has garnered an impressive 458 citations, establishing him as a leading voice in this rapidly growing field. By analyzing tens of thousands of publications, Ho has illuminated productivity trends, research gaps, and emerging priorities in medical AI. His innovative application of Latent Dirichlet Allocation modeling further demonstrates his methodological sophistication in extracting meaningful research themes from large datasets. Collectively, his work provides an invaluable foundation for researchers, clinicians, and policymakers seeking to understand and navigate the expanding role of artificial intelligence in modern healthcare.
Research Focus
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