Zizhan Ma — accepted AI-conference papers

2025

A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Wenxuan Wang, Zizhan Ma, Zheng Wang, Chenghan Wu, Jiaming Ji, Wenting Chen +2

ACL 2025finding

Large Language Models (LLMs) are transforming healthcare through LLM-based agents that can understand and assist with medical tasks. This survey examines the architectures, applications, and challenges of LLM-based agents in medicine. We analyze key components including system profiles, clinical pla…

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2025

MedChain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence

Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, SU Yihang, Kao-Jung Chang +4

NeurIPS 2025spotlight

Clinical decision making (CDM) is a complex, dynamic process crucial to healthcare delivery, yet it remains a significant challenge for artificial intelligence systems. While Large Language Model (LLM)-based agents have been tested on general medical knowledge using licensing exams and knowledge que…

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