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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
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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/submission_new?a=35863199
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
