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

Journal: Journal of prosthodontics : official journal of the American College of Prosthodontists
PMID: 39010644

Abstract

PURPOSE: This study aimed to examine the satisfaction of dental professionals, including dental students, dentists, and dental technicians, with computer-aided design (CAD) software performance using deep learning (DL) and explainable artificial intelligence (XAI)-based behavioral analysis concepts.

Authors

  • Hang-Nga Mai
    Institute for Translational Research in Dentistry, Kyungpook National University, Daegu, Republic of Korea.
  • Thaw Thaw Win
    Department of Prosthodontics, School of Dentistry, Kyungpook National University, Daegu, Republic of Korea.
  • Hyeong-Seob Kim
    Department of Prosthodontics, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea.
  • Ahran Pae
    Department of Prosthodontics, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea.
  • Wael Att
  • Dang Dinh Nguyen
    School of Mechanical Engineering, Kyungpook National University, Daegu 41566, South Korea; National Research Institute of Mechanical Engineering, No.4 Pham Van Dong street, Cau Giay district, Ha Noi, Viet Nam.
  • Du-Hyeong Lee
    Institute for Translational Research in Dentistry, Kyungpook National University, Daegu, Republic of Korea.

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