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

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Bibliographic Details
Title: Deep learning and explainable artificial intelligence for investigating dental professionals' satisfaction with CAD software performance.
Authors: Mai HN; Institute for Translational Research in Dentistry, Kyungpook National University, Daegu, Republic of Korea.; Hanoi University of Business and Technology, Hanoi, Vietnam., Win TT; Department of Prosthodontics, School of Dentistry, Kyungpook National University, Daegu, Republic of Korea., Kim HS; Department of Prosthodontics, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea., Pae A; Department of Prosthodontics, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea., Att W; Center for Dental Medicine, Department of Prosthetic Dentistry, Faculty of Medicine, University of Freiburg, Freiburg, Germany.; Private Practice, The Face Dental Group, Boston, Massachusetts, USA., Nguyen DD; School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea., Lee DH; Institute for Translational Research in Dentistry, Kyungpook National University, Daegu, Republic of Korea.; Department of Prosthodontics, School of Dentistry, Kyungpook National University, Daegu, Republic of Korea.; Department of Prosthodontics, University of Iowa College of Dentistry and Dental Clinics, Iowa City, Iowa, USA.
Source: Journal of prosthodontics : official journal of the American College of Prosthodontists [J Prosthodont] 2025 Feb; Vol. 34 (2), pp. 204-215. Date of Electronic Publication: 2024 Jul 15.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 9301275 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-849X (Electronic) Linking ISSN: 1059941X NLM ISO Abbreviation: J Prosthodont Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-849X
DOI:10.1111/jopr.13900