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LLM-Based Multi-Agent Collaborations for Medical Reasoning
Abstract:
Agentic AI has gained substantial attention with the rapid rise and popularity of generative AI in recent years. In this talk, we will examine recent advances in agentic AI for clinical applications, with a particular focus on how large language models (LLMs) enhance reasoning in complex medical tasks. We will also explore the collaborative potential of multi-agent systems, where LLM-based agents interact, share knowledge, and complement each other’s capabilities to address challenges that go beyond individual models. This synergy highlights the importance and the emerging research directions of agentic AI in healthcare contexts.
About the Speaker:
Christopher C. Yang is a professor in the College of Computing and Informatics at Drexel University. He also has a courtesy appointment at the School of Biomedical Engineering and Science. He is currently on leave and serving as the program director in the Division of Intelligent and Information Systems (IIS) of Directorate for Computer and Information Science and Engineering (CISE) at National Science Foundation.