library_name: transformers
pipeline_tag: text-generation
tags:
- medical
- clinical-ai
- diagnosis
- reinforcement-learning
- medagent
extra_gated_prompt: >-
MedExAgent-8B is a research model for studying medical-agent behavior in
simulated diagnostic conversations. It may ask follow-up questions, request
simulated examination or test information, and produce diagnostic reasoning or
differential-diagnosis style outputs. It is not a medical device, has not been
validated for clinical deployment, and may generate incomplete, incorrect, or
unsafe medical information. By requesting access, you agree that you will not
use this model for clinical care, diagnosis, treatment decisions, emergency
triage, patient management, or any other real-world medical decision-making.
You are solely responsible for any research use and for complying with all
applicable laws, institutional policies, and safety review requirements.
extra_gated_fields:
Full name: text
Organization or affiliation: text
Intended research use: text
I understand this model is for research only and must not be used for clinical care, diagnosis, treatment decisions, emergency triage, patient management, or other real-world medical decision-making: checkbox
I understand the model may produce inaccurate or unsafe medical information and that I am responsible for evaluating its outputs before any research use: checkbox
extra_gated_button_content: Agree and request access
extra_gated_heading: Research-use acknowledgement required
extra_gated_description: >-
Access requires agreement to the research-only and no-clinical-use terms
below.
base_model: OpenMeditron/Meditron3-8B
license: llama3.1
MedExAgent-8B
Paper: https://arxiv.org/abs/2605.07058
Citation
@misc{gao2026medexagenttrainingllmagents,
title={MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments},
author={Yicheng Gao and Xiaolin Zhou and Yahan Li and Yue Zhao and Ruishan Liu},
year={2026},
eprint={2605.07058},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2605.07058},
}
MedExAgent-8B is a research language model for medical-agent experiments. It is intended to study how an AI agent can conduct simulated diagnostic interactions: asking relevant follow-up questions, requesting available simulated examinations or tests, integrating noisy patient information, and producing diagnostic reasoning or differential-diagnosis style responses.
The model is designed for controlled research and evaluation workflows, not for use with real patients. It may be useful for experiments involving simulated patient conversations, diagnostic reasoning benchmarks, medical-agent tool-use studies, and robustness analysis under noisy clinical communication settings.
Intended Use
Use this model only for research, benchmarking, and development in controlled non-clinical environments. Outputs should be treated as unverified model-generated text and independently evaluated by qualified reviewers when relevant.
Clinical Use Disclaimer
This model must not be used for clinical care, diagnosis, treatment decisions, emergency triage, patient management, or any other real-world medical decision-making. It is not a medical device, has not been clinically validated, and may generate incomplete, incorrect, misleading, or unsafe medical information.
By requesting access to this model, you acknowledge and agree that the model is for research use only and that you will not use it in clinical or patient-facing settings.
License
Built with Llama.
MedExAgent-8B is finetuned from Meditron3-8B, which is finetuned from Llama-3.1-8B-Instruct. It is released under the Llama 3.1 Community License and subject to the Llama 3.1 Acceptable Use Policy. Llama 3.1 is licensed under the Llama 3.1 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.