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The Impact of AI on Metal Artifacts in CBCT Oral Cavity Imaging.

Róża WajerAdrian WajerNatalia KazimierczakJustyna WilamowskaZbigniew Serafin
Published in: Diagnostics (Basel, Switzerland) (2024)
AI-based noise reduction using ClariCT.AI significantly enhances CBCT image quality by reducing noise and metal artifacts, thereby improving diagnostic accuracy and treatment planning. Further research with larger, multicenter cohorts is recommended to validate these findings.
Keyphrases
  • image quality
  • artificial intelligence
  • computed tomography
  • air pollution
  • dual energy
  • high resolution
  • machine learning
  • cross sectional
  • magnetic resonance imaging
  • double blind
  • clinical trial
  • photodynamic therapy