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

The Healthcare Evolution through AI and Digital Twins - HEAD - workshop aims to bring together researchers from academia, industry, and healthcare institutions to discuss recent advances, challenges, and opportunities in AI-driven and Digital Twin-enabled healthcare.

Technologies such as Artificial Intelligence, Digital Twins, Cloud Computing, Edge and Fog Computing, and the Internet of Things (IoT) are driving a new generation of intelligent, connected healthcare systems. Modern applications in this field increasingly rely on heterogeneous infrastructures, ranging from IoT and edge medical devices to High-Performance Computing (HPC) backends, to enable scalable, real-time and patient-specific digital twins.

HEAD 2026 workshop promotes interdisciplinary dialogue about how HPC, distributed systems, and performance optimization can enable scalable, reliable, and energy-efficient digital health solutions by connecting healthcare innovation with advanced computing infrastructures.

Submission Guidelines

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: EasyChair Submission Link ↗ (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.

List of Topics

Conference topics include (but are not limited to):

■ 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

Contact

For any questions or inquiries, please contact the workshop organizers at: head@icar.cnr.it