[Announcements] [CfP] – DM-SMARTHEALTH 2026 (IEEE SMARTCOMP 2026)

[DM-SmartHealth]

Dear colleagues,
The research community is warmly invited to submit their latest work
to the 3rd International Workshop on Digital and Mobile Smart Health
Systems (DM-SMARTHEALTH 2026), co-located with IEEE SMARTCOMP 2026.

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Messina, Italy
June 22–25, 2026
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The healthcare sector is undergoing a profound transformation driven
by the integration of digital technologies, mobile and wearable
devices, artificial intelligence, and context-aware systems.
DM-SMARTHEALTH 2026 aims to bring together researchers and
practitioners working on smart, AI-driven health systems that are
practical, reliable, and ready for real-world deployment.
Building on the success of previous editions, this year’s workshop
places particular emphasis on the transition from research prototypes
to deployable health systems. We especially welcome contributions
addressing real-world deployment challenges, multimodal AI
integration, autonomous health monitoring, and clinically validated
solutions.
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 including new datasets, clinical studies, or on-the-field
validation results are particularly encouraged.

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Paper submission deadline: March 9, 2026
Notification: April 29, 2026
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Accepted papers will be included and indexed in IEEE Xplore.
Each accepted paper requires full SMARTCOMP registration and in-person
presentation. Papers not presented at the workshop will not be
published in the proceedings.
Submission guidelines:
- Maximum 6 pages (including references)
- IEEE double-column format (10pt, US letter, fonts embedded)
- Submission via EDAS
- All authors must be registered in EDAS at submission time
Additional details are available at:
https://dm-smarthealth2026.iit.cnr.it/
We look forward to receiving your contributions and to welcoming you to Messina.
Best regards,
DM-SMARTHEALTH 2026 Organizing Committee
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