Special Session on AI Agents in Digital Health and Medicine

IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2026)

Athens, Greece · 31 August – 2 September 2026

Scope

Advances in computational intelligence (CI) and autonomous systems are enabling a new generation of AI agents capable of perceiving, reasoning, and acting within digital health and clinical environments. AI agents and multi-agent systems are accelerating innovation in healthcare by supporting clinical decision-making, autonomous health monitoring, multimodal medical assistants, and adaptive intelligence embedded in clinical workflows.

Despite these opportunities, deploying AI agents in healthcare presents challenges related to heterogeneous data, interoperability, trust, safety, hallucinations, bias, privacy, and regulatory compliance. Ensuring trustworthy and clinically aligned behavior requires transparent reasoning, robust evaluation, and effective human oversight.

This special session aims to bridge computational intelligence researchers and clinical experts, fostering interdisciplinary collaboration and showcasing emerging advances in AI agents for digital health, precision medicine, bioinformatics, clinical decision support, and biomedical engineering.

Topics of Interest

Important Dates

Submission Guidelines

Authors are invited to submit unpublished original research papers through the IEEE CIBCB 2026 paper submission system. When submitting, please select:

“Special Session on AI Agents in Digital Health and Medicine” as the main research topic.

More details are available at: https://cibcb2026.dib.uth.gr/

Organizers

Dr. Yasin Mamatjan

Associate Professor, Thompson Rivers University, Canada
Visiting Scientist, Princess Margaret Cancer Centre, Toronto, Canada
Chair, IEEE-BBTC Taskforce on Computational Intelligence in Health and Medicine
https://www.mamatjanlab.com/
Email: ymamatjan@tru.ca

Dr. Arvind S. Mer

Assistant Professor, Faculty of Medicine and School of EECS
University of Ottawa, Canada
Vice-Chair, IEEE-BBTC CIHM Taskforce
https://merLab.github.io
Email: amer@uottawa.ca

Dr. Alvaro David Orjuela-Cañón

Associate Professor, School of Medicine and Health Sciences
Universidad del Rosario, Colombia
Senior Member, IEEE
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