Journal of Oral Science Research ›› 2023, Vol. 39 ›› Issue (11): 960-964.DOI: 10.13701/j.cnki.kqyxyj.2023.11.004

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Research and Application of Convolutional Neural Network in Endodontic Imaging Diagnosis

QI Shuai, ZHANG Qi*   

  1. Department of Endodontics, School and Hospital of Stomatology, Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai 200011, China
  • Received:2023-06-19 Online:2023-11-28 Published:2023-11-22

Abstract: With the progress of computer technology, the research and application of artificial intelligence (AI) in dental imaging diagnosis has developed rapidly. As the most common dental disease, endodontics becomes one of the earliest AI-related research fields in dentistry. In recent years, deep learning technology represented by convolutional neural network (CNN) has shown great prospects in endodontic imaging diagnosis, and is expected to provide clinicians with intelligent support in the future. At present, the development of CNN in endodontic imaging diagnosis is still in the preliminary stage. This article will focus on the research and application of CNN in endodontic imaging diagnosis based on the working principle of CNN, and briefly analyze its development prospect.

Key words: endodontics, imaging diagnosis, artificial intelligence, convolutional neural network