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Deep learning and explainable artificial intelligence for investigating dental professionals' satisfaction with CAD software performance.

Hang-Nga MaiThaw Thaw WinHyeong-Seob KimAhran PaeWael AttDang Dinh NguyenDu-Hyeong Lee
Published in: Journal of prosthodontics : official journal of the American College of Prosthodontists (2024)
This study sheds light on the factors influencing dental professionals' decisions in using and selecting CAD software. This approach can serve as a proof-of-concept for applying DL-XAI-based behavioral analysis in dentistry and medicine, facilitating informed software selection and development.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • coronary artery disease
  • big data
  • data analysis
  • oral health
  • convolutional neural network