The rapid advancement of generative AI has created new possibilities for smart and connected health, providing powerful tools for remote healthcare delivery, real-time monitoring, predictive analytics, and personalized patient care. However, these advancements also bring unique challenges in model performance and transparency, security, privacy, fairness, explainability, and ethical deployment within healthcare contexts. This workshop seeks to bring together researchers, healthcare professionals, and industry leaders to explore and discuss the latest innovations, research findings, and future directions for generative AI in smart and connected health. We invite original research, case studies, and position papers that address any of the following themes:

Submission Guidelines

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

• Research papers should be between four and eight pages, including references, figures, and all other content. Submissions must contain original work not previously published or under consideration elsewhere. Papers that introduce novel technological solutions (including early and in-progress work) and vision or position papers outlining emerging challenges and gaps in the field are encouraged. Accepted research papers will be presented orally and included in the workshop proceedings, archived in the ACM Digital Library.
• Extended abstracts 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.

Topics of Interest

Submissions should be relevant to the core theme of "Generative AI for Smart and Connected Health" and may cover, but are not limited to, the following topics:

• Innovative Approaches and Applications of Generative AI in Smart and Connected Health
• Generative Models (e.g., LLM, Diffusion Models) for Healthcare Data Synthesis (e.g., EHR, Medical Imaging, Sensor Data)
• Generative Models for Wireless Sensing and Vital Sign Monitoring
• Large Language Models and Multi-modal Large Models in Healthcare
• Federated Learning for Generative AI in Healthcare
• Privacy, Security, Explainability, Fairness, and Ethical Challenges in Smart and Connected Healthcare
• Predictive Analytics and Real-Time Monitoring for Connected Health Systems
• Integration of Generative AI with Digital Twins for Connected Health Systems
• Integration of Generative AI with Internet of Medical Things and Healthcare Infrastructure
• Generative AI for Disease Detection, Diagnosis, Treatment, and Prevention
• Generative AI for Health Disparities and Equity

Committees

Program Committee

• To be added

Organizing committee

• Yuanxiong Guo (UT San Antonio)
• Xuyu Wang (Florida International University)
• Feng Liu (Stevens Institute of Technology)
• Yanmin Gong (UT San Antonio)
• Nan Kong (Purdue)
• Lixin Song (UTHealth San Antonio)

Format

Submissions should follow the ACM conference proceedings format. All submissions will undergo a peer-review process, and accepted papers will be included in the workshop proceedings. The ACM conference paper templates can be downloaded at the ACM Conference Paper Template Information Center. 

Important Dates

• Workshop Paper Submission Deadline: February 1, 2025.
• Notification of Acceptance: March 3, 2025.
• Camera-Ready Submission: March 10, 2025.
• Workshop Date: June 23, 2025.

Venue

The conference will be held in Manhattan, New York City, USA. 

Contact

All questions about submissions should be emailed to the organization commitee co-chair Yuanxiong Guo (yuanxiong.guo@utsa.edu).