Fanyang Yu
Papers
1
Total Citations
1
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About
Fanyang Yu is a leading researcher at the intersection of artificial intelligence and medicine, with a primary focus on the development and application of large language models (LLMs) in clinical settings. Yu’s major contribution lies in pioneering the conceptual shift from passive LLMs to "agentic" systems—autonomous AI agents capable of planning, acting, and collaborating to solve complex medical tasks. This work, culminating in the highly influential systematic review and taxonomy "Agentic Large-Language-Model Systems in Medicine" (2025), has already garnered significant attention, establishing a foundational framework for the field. By clearly defining the capabilities and architectures of these next-generation systems, Yu has provided a roadmap for researchers and clinicians to integrate AI into care coordination and adaptive decision-making. This seminal paper, with its forward-looking taxonomy, is poised to become a cornerstone reference, shaping how the medical community understands and harnesses the potential of autonomous AI. Yu’s research is not only technically rigorous but also deeply practical, directly addressing the urgent need for AI systems that can safely and effectively augment human expertise in high-stakes environments.
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Top Papers
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