Workshop Description

The 10th International Workshop on Health Intelligence (W3PHIAI-26) will celebrate a decade of convening researchers, clinicians, computer scientists, public health agencies, NGOs, and industry leaders at the intersection of AI and health. 

This year’s theme, Foundation Models and Agentic AI in Healthcare and Medicine, will explore how large-scale pretrained models and autonomous systems are transforming clinical workflows, patient management, health system operations, and public health surveillance. The workshop aims to foster discussion on developing robust Foundation Models and AI agents that integrate multimodal health data, enhance patient engagement, support clinicians, and ensure equitable, safe, and trustworthy AI adoption in real-world settings. Building on nine highly successful W3PHIAI events, we anticipate two vibrant days of keynotes, panels, paper presentations, posters, demos, and a hackathon.

Topics

We invite contributions in (but not limited to):

• Knowledge Representation and Reasoning

• Integrated and Interoperable Health Systems

• Clinical Deployment and Integration

• Patient-Focused Workflows

• Shared Decision Making

• Epidemic Intelligence and Early Outbreak Detection

• Predictive Modeling and Clinical Decision Support

• Biomed Ontologies, Terminologies, and Standards

• Bayesian Networks and Reasoning under Uncertainty

• Temporal and Spatial Representation and Reasoning

• Case-based Reasoning in Healthcare

• Crowdsourcing and Collective Intelligence

• Risk Assessment, Trust, Ethics, Privacy, Evaluations, and Security

• Computational Behavioral/Cognitive Modeling

• Intervention Design, Modeling, and Evaluation

• Multimodal Learning and Hybrid Methods

• Generative AI and Foundation Models

• Agentic AI

• Conversational Agents

Format

This is a two-day workshop featuring keynote and invited talks, panels, oral and poster presentations, and demos. A special track will highlight this year’s theme of Foundation Models and agentic AI.

Attendance

Open to researchers, practitioners, policymakers, and students in AI and health. Attendance is first-come, first-served until capacity is reached.

Submission RequirementsWe welcome: 

• Full papers (up to 8 pages)

• Short papers (up to 4 pages)

• Posters/demos (up to 2 pages)

All submissions should follow the AAAI format (single-blind review) and be submitted via EasyChair: https://easychair.org/conferences?conf=w3phiai26. 

Selected papers will be invited for oral, poster, and spotlight presentations. Proceedings will be published in a Springer book collection, with opportunities for journal special issues.

Important Dates

• October 20, 2025: Submissions due

• November 5, 2025: Notification of acceptance

• November 16, 2025: AAAI-26 Early Registration Deadline

• December 15, 2025: Final Camera-Ready Version

• January 26-27, 2026: The Workshop Program

Workshop Organizers

• Martin Michalowski, PhD, FAMIA, FIAHSI, University of Minnesota

• Arash Shaban-Nejad, PhD, MPH, University of Tennessee Health Science Center

• Simone Bianco, PhD, Altos Labs

• Creighton Heaukulani, PhD, Ministry of Health Office for Healthcare Transformation, Singapore

• Marija Stanojevic, PhD, Ellipsis Health

• Robert Morris, PhD, Ministry of Health Office for Healthcare Transformation, Singapore

Workshop URL: http://w3phiai2026.w3phi.com