The 2nd Agentic AI for Medicine Workshop

at MICCAI 2026

Date and Room: TBC


Introduction

Agentic AI is emerging as a new paradigm in medical AI, following the eras of predictive AI and, more recently, generative AI. Building on the momentum from its inaugural edition, the 2nd Workshop on Agentic AI for Medicine continues to explore how autonomous and proactive AI systems can support medical vision, diagnosis, clinical decision-making, intervention, and robotics.

Unlike previous generations of medical AI, which execute predefined functions or generate outputs passively, agentic AI systems can perceive, plan, act, and reflect using large foundation models as their cognitive core. They can integrate domain-specific tools, reason over clinical guidelines, manage longitudinal patient data, and take autonomous actions within simulated or physical environments. Recent applications include AI-driven molecular design and chemical synthesis, agent-enabled clinical diagnosis, surgical vision with long-term memory, and embodied control of medical robots. Specialized agents can also collaborate as committees for complex diagnostic or treatment workflows, and they can generate executable code to reduce technical barriers for clinicians.

This 2nd Workshop on Agentic AI for Medicine aims to showcase the latest research, foster multi-disciplinary discussion, and identify opportunities, challenges, and risks associated with this burgeoning field. It serves as a forum for the medical imaging, clinical AI, robotics, and healthcare communities to chart the path toward safe, trusted, and high-impact agentic AI systems for future medical practice.


Call for Papers

We welcome submissions to this workshop. Topics include but are not limted to:

1. New theories, principles, and structures of medical and clinical AI agents

2. New reasoning, planning, and decision-making strategies of medical and clinical AI agents

3. New evaluation paradigms and benchmarks of medical and clinical AI agents

4. Large-scale datasets and tool usage repositories for developing medical and clinical AI agents

5. Adversarial robustness of medical and clinical AI agents

6. Applications of AI agents in medicine and healthcare

7. Scaling law of medical and clinical AI agents

8. Interpretability and explainability of medical and clinical AI agents

9. Large-scale agent-based modelling in digital health and medicine

10. Multiagent systems in medicine and healthcare

11. Decentralized methods for developing and deploying medical and clinical AI agents

12. AI agent ethics, safety, privacy, and regulations in medicine and healthcare

To recognize excellence, we will present two awards: Best Workshop Paper and Best Workshop Poster, each featuring an award certificate and a cash prize.

Submission portal: OpenReview Agentic AI for Medicine Workshop

Submission deadline: 15 July 2026

Notification to authors: 31 July 2026

Camera-ready submission: 15 Aug 2026


Schedule

08:00-08:10 Welcome
08:10-08:35 Invited Talk 1 (Academic)
08:35-9:00 Invited Talk 2 (Academic)
9:00-10:00 Oral Session 1
10:00-10:20 Coffee Break and Poster Session
10:20-10:45 Invited Talk 3 (Industrial)
10:45-11:10 Invited Talk 4 (Clinical)
11:10-12:10 Oral Session 2
12:10-12:25 Award Announcement
12:25-12:30 Closing Remarks


Invited Speakers


Organizers

Baoru Huang
University of Liverpool
Yuankai Huo
Vanderbilt University
Shuo Li
Case Western Reserve University




Contact

Please contact Baoru.Huang@liverpool.ac.uk for workshop-related matters.



Acknowledgments

Thanks to languagefor3dscenes for the webpage format.