Hyuna Lim
Papers
1
Total Citations
1
H-Index
1
About
Hyuna Lim is a researcher whose work sits at the intersection of artificial intelligence, text mining, and medical healthcare informatics. Her most cited paper, "Detecting Knowledge Structures in Artificial Intelligence and Medical Healthcare with Text Mining" (2019), explores how AI and ICT technologies—including mobile health, telemedicine, and precision medicine—are transforming the medical landscape. In this work, she applies text mining techniques to uncover latent knowledge structures, demonstrating how AI can enhance diagnostic accuracy, enable autonomous surgical robotics, and support personalized treatment pathways. While her citation count remains modest, her research addresses a critical frontier: the integration of data-driven AI into clinical decision-making. Lim’s contributions are particularly relevant as the healthcare industry accelerates toward AI-assisted care, and her methodological focus on knowledge detection offers a foundation for future studies in medical AI systems. Her work signals a growing need for interdisciplinary approaches that bridge computational linguistics and biomedical engineering, positioning her as a thoughtful voice in the evolving dialogue on AI’s role in medicine.
Research Focus
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Top Papers
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