The 2025 International Workshop on AI Applications in Public Health and Social Services (AI-PHSS 2025)

June 26th, 2025 in Pavia, Italy

in conjunction with the 23rd International Conference of Artificial Intelligence in Medicine (AIME 2025)

Updates: Workshop program:

You can download the workshop program in:

Program in PDF: Workshop_AIPHSS2025_Program.pdf

Program in PNG: Workshop_AIPHSS2025_Program.png

Introduciton

The AI-PHSS workshop explores how AI technologies enhance public health and social services, focusing on revolutionizing surveillance, tackling health issues, and informing policy decisions. It highlights AI's potential to amplify community engagement, streamline social worker case management, and optimize service delivery. The workshop will bring together researchers, practitioners, healthcare professionals, and policymakers to share insights, exchange ideas, and foster collaborations in these critical areas. We invite submissions of papers and posters that investigate AI applications in public health and social services, such as predictive modeling for chronic disease management, real-world data analysis, sentiment analysis in social services, resource allocation optimization, and AI-driven decision support systems in public health and social services. Through interdisciplinary exchange, we aim to advance understanding of AI's role in addressing public health challenges and improving social service provision efficiency. We are inviting original research submissions as well as work-in-progress to the Workshop on AI Applications in Public Health and Social Services (AI-PHSS).

Topics

Topics of interest include but not limited to:

    • Predictive modeling for disease surveillance and outbreak detection.
    • Sentiment analysis and natural language processing for community health engagement.
    • AI-driven decision support systems for social workers in case management.
    • Optimization algorithms for resource allocation in social service delivery.
    • Machine learning approaches for early detection and intervention in public health issues.
    • Data mining techniques for identifying patterns and trends in public health data.
    • Ethical considerations in deploying AI technologies in public health and social services.
    • Human-AI collaboration frameworks for enhancing public health and social services.

Submission

We invite submissions of short abstracts (1 to 2 pages, including references) for Podium and Poster presentations. Abstracts should be formatted according to Springer’s LNCS format


Important Dates

  • May 16, 2025: Workshop submission deadline
  • May 30, 2025: Notice of acceptance to the workshop
  • June 26, 2025: Workshop podium presentations and posters

Organizing

Workshop co-Chairs

  • Huanmei Wu, PhD, Temple University, Pennsylvania, USA
  • Denis Newman-Griffis,PhD, University of Sheffield, Sheffield, UK
  • Hongfang Liu, PhD, University of Texas Health Science Center at Houston (UTHealth Houston), Texas, USA
  • Rui Zhang, PhD, University of Minnesota, Minnesota, USA
  • Yonghui Wu, PhD, University of Florida, Florida, USA

Registration

Participants have the flexibility to register solely for the AIPHSS workshop (one day on July 12th) or opt for a combined registration that includes both the AIME main conference and the workshop.

Schedule

You can download the workshop program in:

Program in PDF: Workshop_AIPHSS2025_Program.pdf

Program in PNG: Workshop_AIPHSS2025_Program.png

14:00 – 14:05 | Opening Remarks

  • Hongfang Liu, PhD, University of Texas Health Science Center at Houston (UTHealth Houston), Texas, USA

14:05 – 15:30 | Session 1: Population Health and Social Services in the Digital Era

  • 14:05 - 14:50 | Keynote Talk: Leveraging Implementation Science to Enhance AI Applications in Health
    Speaker: Dr. Maria Fernandez, UTHealth Houston, TX, USA
  • 14:50 - 15:10 | Invited Talk: Developing AI tools to enhance understanding of safety use of dietary supplements
    Speaker: Dr. Rui Zhang, University of Minnesota, MN, USA
  • 15:10 - 15:30 | Invited Talk: Hidden Costs of Generative AI: Risks of Low-Quality Content and Public Health Adoption
    Speaker: Jiawei Zhou, Georgia Institute of Technology, GA, USA

15:30 – 16:00 | Coffee Break


16:00 – 18:00 | Session 2: AI Opportunities and Challenges in PHSS

  • 16:00 - 16:30 | Keynote Talk: Building artificial intelligence infrastructure to improve public health
    Speaker: Dr. Yonghui Wu, University of Florida, FL, USA
  • 16:30 - 16:50 | Invited Talk: Towards Trustworthy AI in Medical Imaging Informatics: Visualization and Uncertainty-Aware for Explainable Decision-Making
    Speaker: Dr. Ahmad Tafti, University of Pittsburgh, PA, USA
  • 16:50 - 17:10 | Invited Talk: AI with Integrity: Promoting Equity in Public Health and Social Work through Responsible and Ethical ML
    Speaker: Dr. Huanmei Wu, Temple University, PA, USA
  • 17:10 - 17:30 | Invited Talk: Using Generative Medical AI to Improve the Access to High-quality Healthcare Service in China
    Speaker: Dr. Mengchun Gong, Digital Health China Technologies, Beijing, China
  • 17:30 - 17:50 | Invited Talk: The Rise of Digital Health Technologies: Balancing Safety and Innovation
    Speaker: Dr. Taylor Harrison, Mayo Clinic, MN, USA
  • 17:50 - 18:00 | Closing Remark and Next Step

Past Workshops

  • The 2024 International Workshop on AI Applications in Public Health and Social Services (AI-PHSS 2024)