DM-SMARTHEALTH 2026 - Call for Papers

The 3rd IEEE Workshop on Digital and Mobile Smart Health Systems (DM-SMARTHEALTH 2026) will be held in conjunction with the 12th International Conference on Smart Computing (SMARTCOMP 2026) 22nd - 25th June, 2026 in Messina, Italy.

Website: https://dm-smarthealth2026.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.

Building on previous editions, this year's workshop emphasizes the transition from research prototypes to deployable health systems. We particularly welcome work addressing real-world deployment challenges, multimodal AI integration, and autonomous health monitoring systems. The workshop will explore cutting-edge topics including the application of Large Language Models and foundation models in healthcare, AI agents for proactive health interventions, and edge-based intelligent systems for real-time patient monitoring.

Participants will have the opportunity to discuss and share insights on a wide range of topics, fostering cross-disciplinary collaboration aimed at advancing practical, reliable, and privacy-preserving smart health systems.

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

Context-Aware and Personalized Health Systems
- Context-aware behavioral modeling for adaptive health applications
- Advanced techniques for multimodal health data collection, annotation,
and validation
- Digital phenotyping and longitudinal behavior analysis using personal
devices for health monitoring

AI and Machine Learning for Smart Health
- Foundation models and multimodal AI for integrating diverse health
data sources (text, imaging, sensors, genomics)
- Large Language Models (LLMs) for clinical decision support, patient
communication, and health information synthesis
- Explainable AI (XAI) techniques for transparent and trustworthy health
decision-making
- Causal inference and causal AI approaches for precision medicine and
personalized interventions
- Synthetic data generation and simulation for robust health AI
development
- AI optimization techniques for enhancing model performance,
generalization, and reliability

Intelligent Health Applications and Systems
- Smart health applications for early diagnosis, remote monitoring, and
clinical decision support
- AI agents and autonomous health systems for proactive monitoring and
intervention
- Middleware architectures enabling interoperability and seamless device
integration
- Human-computer interaction designs improving usability and engagement
in health applications
- Human-AI collaboration frameworks for augmented healthcare delivery

Edge and Embedded Intelligence
- Edge AI and on-device intelligence for real-time, low-latency health
monitoring
- Medical Cyber-Physical Systems integrating sensing, computation, and
actuation
- Co-design of sensors, hardware platforms, and AI algorithms for
energy-efficient health monitoring
- Neuromorphic and brain-inspired computing for ultra-low-power wearable
systems

Privacy, Security, and Federated Learning
- Federated, decentralized, and privacy-preserving learning for
distributed health systems
- Security, privacy, and ethical considerations in data-driven health AI
- Differential privacy and secure multiparty computation for health data
analytics

Deployment and Validation
- Challenges in deploying AI models on mobile and wearable platforms:
latency, accuracy, and energy constraints
- Clinical validation studies and real-world performance evaluation of
digital health systems
- Cross-modal learning and sensor fusion for robust health assessment
- Transfer learning and domain adaptation for generalizable health models

Papers that include new datasets, clinical studies, or 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. Accepted workshop papers will be included and indexed in the IEEE digital libraries (Xplore).

Papers may be no more than 6 pages in length, including references. 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 linked here https://www.ieee.org/conferences/publishing/templates.html.

Papers submission must be made via EDAS using the following link: https://edas.info/N34463.

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: March 9th, 2026
Paper notification: April 29th, 2026
Camera ready deadline: TBD