ExpertiseUpdated on 30 May 2025
Unique High-Granularity Cardiac Data Supporting Explainable AI
AI/ML Researcher at International Clinical Research Center, St. Anne's University Hospital
Brno, Czech Republic
About
Leverage our unique data assets for your Horizon Europe project! Our AI/Cardiology team in Brno offers access to, and expert analysis of, highly granular cardiac electrophysiology data, collected within a clinical setting.
Our Data Assets Feature:
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High-Resolution ECGs: Extensive libraries with beat-by-beat, expert-verified annotations for a wide range of arrhythmias.
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Unique Labels and Features for Explainable AIs: Including difficult-to-detect phenomena like 'superimposed' atrial activity – crucial for estimating atrial patterns, atrio-ventricular conduction ratios, and modeling causal relationship between individual waves with DAGs. It provides rich background for differential diagnosis and research of source separation techniques.
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3D Electroanatomical Maps: Linked to clinical procedures and patient outcomes.
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Clinical Integration: All data is backed by deep clinical context and can be linked to other relevant patient information (within ethical guidelines).
What We Offer:
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Expertise in navigating the ethical and practical aspects of using clinical data for research.
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The ability to use this data to train, test, and validate AI models developed within a consortium.
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AI services to extract novel biomarkers and insights from this data.
We Are Looking For: HE partners developing AI/ML models (especially for cardiology or time-series/3D data) who need high-quality, real-world data and clinical/AI expertise for validation and discovery.
Field
- Artificial Intelligence (AI)
- Big data & analytics
- Health
- Standardisation
- Responsible research and innovation
Organisation
International Clinical Research Center, St. Anne's University Hospital
Research organisation
Brno, Czech Republic
Similar opportunities
Expertise
Advanced AI/ML for Complex Medical Data & Risk Prediction
- Health
- Big data & analytics
- Artificial Intelligence (AI)
- Responsible research and innovation
Jakub Hejc
AI/ML Researcher at International Clinical Research Center, St. Anne's University Hospital
Brno, Czech Republic
Project cooperation
- Consortium seeks partner(s)
- HORIZON-CL4-2025-04-DATA-03: Software Engineering for AI and generative AI
Aistis Raudys
prof. dr. / CEO at AAI Labs
Riese, Lithuania
Expertise
Ethics, SSH and policy expertise for trustworthy AI
- Robotics
- Environment
- Societal transformation
- Artificial Intelligence (AI)
- Governance and public services
- Responsible research and innovation
- Social Sciences and Humanities (SSH)
Atte Ojanen
Research Manager at Demos Helsinki
Helsinki, Finland