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Artificial intelligence (AI) in restorative dentistry: Performance of AI models designed for detection of interproximal carious lesions on primary and permanent dentition.

Amr Ahmed AzhariNarmin HelalLeena M SabriAbeer Abduljawad
Published in: Digital health (2023)
The proposed deep learning models can accurately detect advanced caries in permanent or primary bitewing radiographs. Misclassification mostly occurs between primary and moderate caries. Although the model performed well in correctly classifying the lesions, it can misclassify one as the other or does not accurately capture the depth of the lesion at this early stage.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • early stage
  • big data
  • convolutional neural network
  • oral health
  • loop mediated isothermal amplification
  • sensitive detection
  • quantum dots