Han Tianyu
Papers
1
Total Citations
1
H-Index
1
About
Han Tianyu is a pioneering researcher at the forefront of artificial intelligence in medicine, with a primary focus on the evolution of large language models (LLMs) from passive tools to autonomous, agentic systems. His landmark work, "Agentic Large-Language-Model Systems in Medicine: A Systematic Review and Taxonomy" (2025), establishes a foundational framework for understanding how LLMs can now plan, act, and collaborate with other agents in clinical settings. This contribution is particularly significant as it provides the first comprehensive taxonomy of agentic medical AI, mapping the transition from simple response generation to complex, adaptive systems capable of assisting clinicians and coordinating care. Though newly published, this work is already garnering attention (1 citation) for its timely synthesis of a rapidly evolving field. Tianyu's research addresses the critical gap between theoretical AI capabilities and practical medical applications, offering a roadmap for developing systems that can adapt to the nuanced demands of healthcare. His work positions him as a key voice in shaping how autonomous AI will integrate into clinical workflows, promising safer, more efficient patient care.
Research Focus
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