Yanda Meng
Papers
1
Total Citations
1
H-Index
1
About
Yanda Meng is a pioneering researcher at the intersection of artificial intelligence and medicine, whose work focuses on advancing large language models (LLMs) from passive responders into autonomous, agentic systems. His major contribution lies in systematically defining and categorizing how LLMs can plan, act, and collaborate with other AI agents to assist clinicians and coordinate complex care. In his highly influential 2025 systematic review and taxonomy, Meng established the foundational framework for understanding these emerging agentic systems, providing a critical roadmap for the field. Though recently published, this work has already garnered significant attention, with early citations reflecting its immediate impact on shaping how researchers and practitioners conceptualize AI-driven clinical decision support. Meng’s research is notable for bridging cutting-edge AI capabilities with real-world medical applications, offering a vision where intelligent systems adapt to the nuanced demands of healthcare. His taxonomy not only clarifies current technical achievements but also identifies key challenges and opportunities, making his work essential reading for anyone interested in the future of AI in medicine.
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Top Papers
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