CBMS

39th IEEE International Symposium on Computer-Based Medical Systems

IEEE CBMS 2026

Special Track - Workshop

Synthetic Healthcare Data Generation and Clinical Decision Support

 

Call for papers

Sharing sensitive medical data is indispensable for engineering the next generation of data-centric digital health technologies. These innovations, ranging from Artificial Intelligence (AI)-based Clinical Decision Support (CDS) systems to high-fidelity digital twins for in silico validation of medical devices and pharmaceuticals are pivotal. They promise to accelerate a paradigm shift in healthcare, substantially augmenting patient safety and fundamentally revolutionizing the delivery of clinical medicine.

 

However, the large-scale data aggregation required for this progress is severely constrained by stringent privacy and governance mandates, such as the EU's General Data Protection Regulation (GDPR). These regulations pose formidable legal and ethical barriers, creating a critical bottleneck that stifles innovation.

 

In this challenging landscape, AI-based Synthetic Data Generation (SDG) methodologies emerge as a transformative solution. By leveraging AI-based generative models, SDG can architect high-fidelity, statistically representative, yet fully anonymized data proxies. These synthetic equivalents effectively decouple data utility from its sensitive, patient-identifiable origins. This approach circumvents the primary privacy impediments, unlocking the vast potential of the data and promising a catalytic effect on research and development in digital health.

 

This special track, developed in the framework of SEARCH project, solicits novel and high-impact research focused on the generation, validation, and translational application of synthetic data for CDS. We particularly welcome submissions proposing novel SDG models applied to complex and diverse clinical data modalities. This includes, but is not limited to, structured electronic health records (EHRs), biosignals (e.g., ECG, EEG, PPG) radiological images (e.g., CT, MRI), endoscopic images, and histopathological and genomic data. We are also very interested in novel methods and metrics for assessing synthetic data, covering aspect that include quality, credibility, fidelity, utility, diversity, and privacy.

 

This special track aims to:

a) Serve as an interactive workshop bringing together scientists from various disciplines related to this research field

b) Present advanced concepts in SDG, including state-of-the-art methods for SDG, and demonstrate the impact of SDG in the context of CDS

c) Discuss best practices, open issues, and research perspectives.

 

In this context, topics of this special track include (but are not limited to):

 

·         Advanced generative models

·         Multi-modal data synthesis

·         Conditional, controllable and counterfactual generation

·         Data efficient generative models

·         Foundational models

·         Explainable / interpretable synthetic data generation

·         Techniques for generating data for rare conditions and underrepresented groups

·         Fair data generation and decision-making

·         Synthetic data in the context of personalized medicine

·         In-silico testing and validation of CDS tools on synthetic patient cohorts

·         Privacy-preserving synthetic data

·         Data homogenization techniques for multisource learning models

·         Federated learning for synthetic data generation

·         Synthetic data evaluation metrics

·         Standards, regulatory and ethical frameworks

·         Synthetic Datasets and clinical utility

 

Deadlines: The deadlines are those of the CBMS conference:

 

 

Submission Guidelines: We welcome full papers formatted in line with the IEEE CBMS 2026 formatting guidelines. Papers should be submitted through the CBMS conference submission system.

 

Review Process: All submissions will undergo a rigorous peer-review process. Accepted papers will be published in the conference proceedings and indexed in leading databases.

 

About IEEE CBMS 2026

 

·         Date: June 3-5, 2026

·         Venue: Limassol, Cyprus

·         Format: exclusively in person

·         Website: https://2026.cbms-conference.org/

 

 

Committees

 

Organizing committee

 

 

International Programme Committee

 

 

 

Contact

Dimitris K. Iakovidis

dimitris.iakovidis-at-ieee.org

 

 

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This special track is organized in the context of the European project SEARCH (https://ihi-search.eu/), which is supported by the Innovative Health Initiative Joint Undertaking (IHI JU) under grant agreement No. 101172997. The JU receives support from the European Union’s Horizon Europe research and innovation programme and COCIR, EFPIA, Europa Bio, MedTech Europe, Vaccines Europe, Medical Values GmbH, Corsano Health BV, Syntheticus AG, Maggioli SpA, Motilent Ltd, Ubitech Ltd, Hemex Benelux, Hellenic Healthcare Group, German Oncology Center, Byte Solutions Unlimited, AdaptIT GmbH. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the aforementioned parties. Neither of the aforementioned parties can be held responsible for them.

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