**** DM-SMARTHEALTH 2025 - Call for Papers ****

The 2nd International Workshop on Digital and Mobile Smart Health Systems (DM-SMARTHEALTH 2025) will be held in conjunction with the 11th International Conference on Smart Computing (SMARTCOMP 2025) 16th - 19th June, 2025 in Cork, Ireland.

https://dm-smarthealth2025.iit.cnr.it

The healthcare sector is experiencing a profound transformation through the integration of digital technologies. Smart health solutions, powered by mobile and wearable devices, artificial intelligence, and context-aware systems, are driving this revolution in patient care and health monitoring. The second edition of this workshop aims to bring together researchers, practitioners, and industry leaders to explore the latest advancements in digital and mobile health systems.
This year, the workshop will expand its focus to include cutting-edge topics, such as the use of Large Language Models (LLMs) in digital health applications, addressing the challenges of integrating these models in real-time healthcare solutions. The workshop will also delve into critical areas like context-aware behavioral modeling, the use of AI for early diagnosis, remote monitoring, and decision support, as well as privacy and security concerns in health data. Participants will have the opportunity to discuss and share insights on a wide range of topics, fostering cross-disciplinary collaboration aimed at advancing the state of the art in smart health systems.
By engaging in discussions on these emerging topics, the workshop will contribute to the development of more efficient, reliable, and secure digital health solutions that are crucial for improving patient outcomes and revolutionizing healthcare delivery.

RELEVANT TOPCS
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Areas of interest include (but are not limited to):

- Context-aware behavioral modeling techniques for personalized health applications
- Innovative approaches for collecting, labeling, and validating multimodal health and behavioral data
- Novel smart health applications for early diagnosis, remote monitoring, and decision support using mobile and wearable technologies
- Middleware solutions for smart health and care systems to facilitate interoperability and seamless integration of devices and services
- Decentralized architectures for mobile health solutions to enable peer-to-peer data sharing and privacy-preserving analytics
- Federated, Distributed, and Personalized learning solutions for privacy-preserving smart health systems
- AI optimization techniques for enhancing the performance and reliability of mobile health applications
- Digital phenotyping: Leveraging IoT and wearable devices to identify digital biomarkers for early detection of health conditions
- Human-computer interaction solutions to improve user engagement and support decision-making in smart health applications
- Social interaction analysis: Understanding the role of personal mobile devices and social media in monitoring health and well-being
- Synthetic data generation for accelerating the development of AI solutions in digital healthcare
- Causal AI in healthcare: Exploring the potential for causal inference in precision medicine and personalized health interventions
- Explainable AI (XAI) approaches to enhance trustworthiness and interpretability of digital health models
- Security, privacy, and ethical challenges in the development and deployment of smart health applications
- Medical Cyber-Physical Systems: Integrating hardware and software for real-time healthcare monitoring and intervention
- The use of Large Language Models (LLMs) in digital health: Applications in patient communication, decision support, and predictive modeling
- Challenges of deploying LLMs in mobile health systems: Issues of data privacy, model accuracy, and real-time performance
- Human-AI collaboration: The future of AI-driven decision support and the human role in healthcare delivery

Papers including new datasets and clinical/on-the-field validations will be highly appreciated.

SUBMISSION AND REGISTRATION
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Authors are invited to submit technical or theoretical papers for presentation at the workshop, describing original, previously unpublished work, which is not currently under review by another workshop, conference, or journal. Papers should present novel perspectives within the general scope of the workshop.

All accepted papers presented in the workshop will be published in the proceedings of the conference and published in the IEEE Xplore Digital Library and Scopus indexed. Papers that are not presented at the workshop will not be published in the proceedings.

Papers may be no more than 6 pages in length. Authors can purchase one additional page for the camera-ready version. Papers above the page limits will not be considered for review or publication. All papers must be typeset in double-column IEEE format using 10pt fonts on US letter paper, with all fonts embedded. The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found on the IEEE website.

Submission must be made via EDAS using [link] (will be available soon).

It is a requirement that all the authors listed in the submitted paper are also listed in EDAS. The author section of EDAS will be locked after the workshop submission deadline to ensure that conflict of interest can be properly enforced during the review process. If the list of authors differs between the paper and EDAS, the paper may not be reviewed.

Each accepted workshop paper requires a full SMARTCOMP registration (no registration is available for workshops only) and in-person presentation. Papers that are not presented at the workshop will not be published in the proceedings.

IMPORTANT DATES
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Paper submission deadline: March 30, 2025
Paper notification: April 30, 2025
Camera Ready Deadline: May 18, 2025
Workshop Date: Monday, 16 June 2025