Son Nghiem
Papers
2
Total Citations
139
H-Index
2
About
Dr. Son Nghiem is a leading researcher at the intersection of artificial intelligence and medicine, with a primary focus on bibliometric analysis and the application of AI in managing cerebrovascular and heart diseases. His work systematically maps the research landscape of AI in clinical decision-making, providing crucial insights into how machine learning and deep learning are transforming the diagnosis and treatment of stroke and cardiovascular conditions. Dr. Nghiem’s most-cited paper, "The Current Research Landscape of the Application of Artificial Intelligence in Managing Cerebrovascular and Heart Diseases," has garnered over 100 citations, establishing a foundational reference for scholars in this rapidly evolving field. He further advanced the methodology of research synthesis by employing Latent Dirichlet Allocation to model and categorize AI research topics in medicine, a contribution that has been cited 38 times and has helped define the thematic structure of the discipline. Through his rigorous bibliometric and content analyses, Dr. Nghiem has not only quantified the explosive growth of AI in healthcare but has also identified key trends, gaps, and future directions, making his work indispensable for students and researchers seeking to navigate this complex and promising domain.
Research Focus
Key Achievements
Top Papers
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