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CLINICCARDS: Voxel-Based AI for 3D Dental Diagnostics

CORDIS · observation · Publication date unknown

cs, ensuring instant market access. Key Innovations: 1. Data Moat: We possess the largest verified private dataset in Eastern Europe (240,000 CT scans), creating an uncopyable advantage for training Deep Learning models. 2. Technological Gap: We solve the ""blind spots"" of existing AI by implementing Metal Artifact Reduction (MAR) and full segmentation of nerves and sinuses directly in voxel space. 3. Digital Sovereignty: We provide a secure European alternative, ensuring data never leaves safe jurisdictions. Measurable Objectives (TRL 4 → TRL 7) Over 24 months, we aim to achieve: - Diagnostic Excellence: Sensitivity >97.3% for pathologies and >95% segmentation accuracy (IoU) for critical anatomy. - Efficiency: Reducing analysis time from 20 minutes to 2–5 seconds (150x faster). - Commercial Impact: Validating a >20% increase in Case Acceptance Rates via pilot testing and securing MDR Class IIa readiness. Action Plan The project involves finalizing R&D (specifically for artifact reduction), conducting a 3-phase ""Living Lab"" clinical trial in 50 clinics, and filing 4 patent appl

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recordType

award

status

SIGNED

region

EU

value

499362.5

unit

EUR