AI Agents in Digital Health and Medicine
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 health and medicine by enabling clinical decision-making, autonomous health monitoring, multimodal medical assistants, and integrating adaptive intelligence directly into clinical workflows. Despite these opportunities, the deployment of AI agents in healthcare and medicine is challenged by heterogeneous data sources, limited interoperability, and concerns about model reliability, including hallucinations, bias, privacy risks, and the safety of autonomous actions. Ensuring trustworthy, clinically aligned behavior requires rigorous evaluation, transparent reasoning, and frameworks that support human oversight. This special session aims to explore advances in health research and clinical practice driven by autonomous agents, agent-based workflows, and next-generation CI models, focusing on the application of Intelligent Agents in digital health, precision medicine, bioinformatics, clinical decision-making, drug discovery, and biomedical engineering. The goal is to bridge the gap between computational intelligence researchers and clinical experts from multidisciplinary backgrounds, fostering collaboration and cross-domain innovation.
Organizers
- Dr. Yasin Mamatjan, Chair, Associate Professor, Thompson Rivers University, BC, Canada, (Visiting Scientist, Princess Margaret Cancer Centre, Toronto, Canada). Email: ymamatjan@tru.ca
- Dr. Arvind S. Mer, Assistant Professor, Faculty of Medicine and School of Electrical Engineering & Computer Science, University of Ottawa, Canada. Email: amer@uottawa.ca
- Dr. Alvaro David Orjuela-Cañón, Universidad del Rosario, Colombia.