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 TOPICS
=============================
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
=============================
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. Submission link
https://edas.info/N33047.
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
=============================
Paper submission deadline: March 30, 2025
Paper notification: April 30, 2025
Camera Ready Deadline: May 18, 2025
Workshop Date: Monday, 16 June 2025
--
Ziyu Wang
Ph.D. student in Computer Science, Donald Bren School of Information and
Computer Sciences University of California, Irvine
6210 Donald Bren Hall Irvine, CA 92697-3425
<https://maps.google.com/?q=6210+Donald+Bren+Hall+Irvine,+CA+92697-3425>
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