Submission Guidelines

This workshop is part of the AIME (Artificial Intelligence in Medicine) 2026 conference. Papers are not indexed, therefore publication in this workshop does not preclude journal submissions. We also accept papers derived from recently published work, although priority will be given to original work. The following paper categories are welcome.

• Short papers (4-6 pages)

List of Topics

• LLMs and multimodal models for public health surveillance

• Evaluation, generalizability, and fairness

• Interoperability and deployment in public health systems

• Integration with agent-based models and simulation

• Limitations, failure modes, and ethical considerations

• Foundation models for outbreak detection

• Multimodal generative models for epidemiological and environmental data

• Generalization & fairness across diverse population groups

• Interoperability with public health information systems and standards

• Evaluation metrics and validation frameworks tailored to public health impact

• Ethical, governance, and equity considerations in population-level AI

• Case studies and practical deployments in public health agencies

Committees

Organizing Committee

• Daniele Pala, PhD, University of Bergamo, Italy
• Giovanna Nicora, PhD, University of Pavia, Italy

Invited Speakers

• Prof. John H. Holmes, University of Pennsylvania

Venue

The conference will be held in Ottawa, Canada on July 10, 2026, as part of the AIME 2026 conference. Remote presentations will be possible.

Contact

All questions about submissions should be emailed to daniele.pala@unibg.it and giovanna.nicora@unipv.it