The influence of different factors on the bond strength of lithium disilicate-reinforced glass-ceramics to Resin: a machine learning analysis.

Journal: BMC oral health
PMID: 39966781

Abstract

BACKGROUND: To assess the influence of various factors on the bond strength of glass-based ceramics and develop a model that can predict the bond strength values using machine learning (ML).

Authors

  • Jiawen Liu
  • Suqing Tu
    Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University; State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, 1st Shang-Hai Road, Nanjing, 210029, China.
  • Mingjuan Wang
    Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University; State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, 1st Shang-Hai Road, Nanjing, 210029, China.
  • Du Chen
    State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, National Center for Stomatology, West China School of Stomatology, Sichuan University, Chengdu 610041, PR China; Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, PR China.
  • Chen Chen
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Haifeng Xie
    Department of Prosthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University; State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, 1st Shang-Hai Road, Nanjing, 210029, China. xhf-1980@126.com.

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