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
deep learning
clinical trial
cross sectional
mass spectrometry
double blind
photodynamic therapy
contrast enhanced