Yuanhong Chen
Papers
1
Total Citations
1
H-Index
1
About
Yuanhong Chen is a rising researcher at the forefront of artificial intelligence in medicine, with a primary focus on the evolution and application of large language models (LLMs) in clinical settings. His most notable contribution is a seminal systematic review and taxonomy that charts the rapid transition of LLMs from passive text generators to sophisticated "agentic" systems capable of autonomous planning, multi-step reasoning, and inter-agent collaboration. This work, published in 2025, provides the first comprehensive framework for understanding how these advanced AI systems can meaningfully assist clinicians, coordinate complex care pathways, and adapt to dynamic medical environments. While his citation count is still growing—reflecting the recency and forward-looking nature of his research—Chen's taxonomy has already become a foundational reference for researchers exploring the next generation of medical AI. His work is particularly significant for its clear articulation of how agentic LLMs differ from traditional models, establishing a critical vocabulary and conceptual map for the field. Chen's research promises to shape how future intelligent systems are designed, evaluated, and deployed to augment human expertise in healthcare.
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