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Deep learning for the identification of ridge deficiency around dental implants.

Cheng-Hung LinHom-Lay WangLi-Wen YuPo-Yung ChouHao-Chieh ChangChin-Hao ChangPo-Chun Chang
Published in: Clinical implant dentistry and related research (2023)
The ridge deficiency around dental implants can be identified using DL from CBCT image slices without the need for preprocessed homogenization. The model will be further strengthened by implementing more clinical expertise in dental implant treatment planning and incorporating multiple slices to classify 3-dimensional implant-ridge relationships.
Keyphrases
  • deep learning
  • soft tissue
  • artificial intelligence
  • convolutional neural network
  • replacement therapy
  • quality improvement
  • magnetic resonance
  • cone beam computed tomography
  • bioinformatics analysis