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How to cite this poster:
Chen E, Postelnik S, Black KC et al. MedAgentBench v2: Improving medical LLM agent design [version 1; not peer reviewed]. F1000Research 2025, 14:1258 (poster) (https://doi.org/10.7490/f1000research.1120393.1)
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MedAgentBench v2: Improving medical LLM agent design

Author Affiliations
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Published 15 Nov 2025

MedAgentBench v2: Improving medical LLM agent design

[version 1; not peer reviewed]

Author Affiliations
1 Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
2 Binghamton University, Binghamton, New York, USA
3 Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
4 Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
5 Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA
Competing Interests

Mr. Jiang receives funding from Singapore’s National Science Scholarship (PhD). Dr. Chen has received research funding support in part by NIH/ National Institute of Allergy and Infectious Diseases (1R01AI17812101), NIH-NCATS-Clinical & Translational Science Award (UM1TR004921), Stanford Bio-X Interdisciplinary Initiatives Seed Grants Program (IIP) [R12] [JHC], and NIH/Center for Undiagnosed Diseases at Stanford (U01 NS134358).​

Keywords
agentic AI, healthcare, LLM agent, medicine
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