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Healthcare Evolution through AI and Digital twins
HEAD 2026

18 - 21 May, 2026 - Sydney, Australia

https://www.head.icar.cnr.it/

in conjunction with the 26th IEEE International Symposium on Cluster, Cloud and Internet
Computing (CCGrid 2026) and in-cooperation with ACM SIGHPC

Submit your paper by using the link: https://easychair.org/conferences/?conf=ccgrid2026workshops (select Workshop: Healthcare Evolution through AI and Digital Twins)
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MISSION:
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All over the world, the number of investments in Information and Communication Technology (ICT) for healthcare and wellbeing (eHealth) is rapidly increasing. GLOBE NEWSWIRE has predicted that the Global eHealth market is expected to reach $123.78 billion by 2030. This means that digital health is of considerable interest worldwide, as it has the potential to improve both the quality of services and users’ access to health information, while also saving time and reducing the workload and associated costs for health service providers in the long term.

In this context, an increasing interest is growing around eHealth and ICT technologies, such as Artificial Intelligence (AI), Digital Twins, Cloud computing, Edge and Fog computing, and Internet of Things (IoT), which are at the basis of revolutionising healthcare by bringing innovative network applications and services. In fact, modern healthcare applications are becoming increasingly dependent on heterogeneous infrastructures, including IoT and edge medical devices, as well as High-Performance Computing (HPC) backends, to support the execution of AI-driven models and patient-specific Digital Twins.

The HEAD workshop would explore the open challenges and current issues surrounding the application of these technologies, while bridging the gap between healthcare innovation and the hardware and software systems that support scalable and reliable computing. HEAD aims to encourage interdisciplinary discussion about how technologies such as HPC, distributed systems and performance optimisation can facilitate the deployment of reliable and scalable Digital Twins for healthcare. The workshop will highlight the role of computing infrastructures as key enablers of future digital medicine by linking algorithmic advances with architectural and systems-level innovations.

TOPICS:
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■ AI Algorithms and Learning Frameworks for Healthcare
■ Modeling and Simulation Methodologies for Healthcare
■ Programming Techniques and Architectures for Healthcare
■ Data Management, Analytics, and Knowledge Extraction
■ ICT Infrastructure and Tools for Healthcare Digital Twins
■ Cloud Computing, Edge and Fog Computing for Healthcare
■ Internet of Things (IoT), Big Data, and Wearable Devices for Healthcare
■ Ethical, Legal, and Societal Implications of ICT for Healthcare
■ Accelerator-based architectures (GPUs, NPUs, FPGAs and DPUs) for Healthcare
■ Parallel and Distributed Training and Multi-GPU/Multi-Node Execution for Healthcare Applications
■ Energy-Efficient, Sustainable, and Optimization-Oriented Computing for AI in Healthcare

IMPORTANT DATES:
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• Submission deadline: February 01, 2026
• Notification of paper acceptance: February 28, 2026
• Submission of camera-ready papers: March 15, 2026
• Registration: March 15, 2026

PAPER SUBMISSION:
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Manuscripts should describe original work and should be formatted according to the IEEE conference proceedings format.
Papers will be submitted through the CCGrid 2026 submission system.

Submit your paper here: https://easychair.org/conferences/?conf=ccgrid2026workshops (select Workshop: Healthcare Evolution through AI and Digital Twins)

All submissions will undergo a rigorous peer-review process. Each paper will be reviewed by at least three members of the Technical Program Committee. Reviews will be double-blind.

Accepted papers will be published in the CCGrid 2026 workshop proceedings and will be submitted for inclusion in IEEE Xplore.

BEST PAPER AWARD:
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A Best Paper Award certificate will be conferred on the author(s) of a paper presented at the workshop, selected by the Chairs based on scientific significance, originality, and technical quality, as evaluated by the Program Committee.



Please visit https://www.head.icar.cnr.it/ for more information, and if you have any questions, kindly get back to us by sending an email

Kind regards,
HEAD 2026 Organizers