Workshop

Generative AI for Smart Health and Biomedical Informatics

In conjuction with IEEE/ACM CHASE 2026, Pittsburgh, PA, USA.

Overview:

The rapid progress of generative AI is opening new frontiers in smart health and biomedical informatics, enabling powerful capabilities for remote healthcare delivery, real-time sensing and monitoring, predictive analytics, and personalized patient care. At the same time, these advances introduce critical challenges related to model reliability and transparency, security and privacy, fairness and bias, explainability, and ethical deployment in healthcare environments. This workshop aims to bring together researchers, clinicians, and industry practitioners to share recent advances, discuss open research problems, and identify future directions for generative AI in smart and connected health. We invite original research papers, case studies, and position papers that address, but are not limited to, the following themes:

Topics of Interest:

Submissions should be relevant to the core theme of "Smart Health and Biomedical Informatics" and may cover, but are not limited to, the following topics:

  1. Innovative Approaches and Applications of Generative AI in Smart Health and Biomedical Informatics
  2. Generative Models (e.g., LLM, Diffusion Models) for Healthcare Data Synthesis (e.g., EHR, Medical Imaging, Sensor Data)
  3. Generative Models for Wireless Sensing and Vital Sign Monitoring
  4. Large Language Models and Multi-modal Large Models in Healthcare
  5. Federated Learning for Generative AI in Healthcare
  6. Agentic AI for Smart Health and Biomedical Informatics
  7. Privacy, Security, Explainability, Fairness, and Ethical Challenges in Smart Health and Biomedical Informatics
  8. Integration of Generative AI with Digital Twins for Smart Health and Biomedical Informatics
  9. Integration of Generative AI with Internet of Medical Things and Healthcare Infrastructure
  10. Generative AI for Disease Detection, Diagnosis, Treatment, and Prevention
  11. Generative AI for Health Disparities and Equity
  12. Foundation and Generative Models for Transitional Smart Health
  13. Evaluation, Benchmarking, and Stress Testing of Foundation and Generative Models for Healthcare

Submission Guidelines:

We invite submissions that contribute to foundational theory, novel methodologies, and practical applications within the field of Smart Health and Biomedical Informatics. Submissions can take the form of:

  • Research papers should be six pages, including references, figures, and all other content. Submissions must contain original work not previously published or under consideration elsewhere. We encourage papers that introduce novel technological solutions (including early and in-progress work) and vision or position papers that outline emerging challenges and gaps in the field. Accepted research papers will be presented orally and will be included in the workshop proceedings, archived in the ACM Digital Library.
  • Extended abstracts are limited to one page, plus references, and may describe early-stage work or work in progress. They will be presented as posters and published on the workshop website.
  • Demo proposals should describe a technology or system and outline how it will be demonstrated at the workshop. They are limited to one page, plus references.

Formatting:

Submissions should follow the IEEE conference proceedings format. All submissions will undergo a peer-review process, and accepted papers will be included in the workshop proceedings.

Important Dates:

  • Workshop Paper Submission Deadline: March 16, 2026
  • Workshop Notification of Acceptance: April 10, 2026
  • Workshop Camera-Ready Submission: April 20, 2026
  • Workshop Date: August 6, 2026 (tentative)

Workshop Organizers

  • Dr. Xuyu Wang
    Knight Foundation School of Computing and Information Sciences
    Florida International University, USA
  • Dr. Zhicheng Jiao
    Department of Radiology
    Warren Alpert Medical School & Brown University Health (Rhode Island Hospital), USA
  • Dr. Yixiang Deng
    Department of Computer and Information Sciences
    University of Delaware, USA
  • Dr. Hao Zheng
    School of Computing and Informatics
    University of Louisiana at Lafayette, USA
  • Dr. Jingping Nie
    School of Data Science and Society
    UNC Chapel Hill, USA