A deep learning model based on concatenation approach to predict the time to extract a mandibular third molar tooth.

Journal: BMC oral health
Published Date: Dec 7, 2022

Abstract

BACKGROUND: Assessing the time required for tooth extraction is the most important factor to consider before surgeries. The purpose of this study was to create a practical predictive model for assessing the time to extract the mandibular third molar tooth using deep learning. The accuracy of the model was evaluated by comparing the extraction time predicted by deep learning with the actual time required for extraction.

Authors

  • Dohyun Kwon
    Department of Oral and Maxillofacial Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong, Gangnam-Gu, Seoul, Republic of Korea.
  • Jaemyung Ahn
    Department of Oral and Maxillofacial Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong, Gangnam-Gu, Seoul, Republic of Korea.
  • Chang-Soo Kim
    Information Systems, Pukyong National University, Busan 608737, Korea.
  • Dong Ohk Kang
    Department of Oral and Maxillofacial Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong, Gangnam-Gu, Seoul, Republic of Korea.
  • Jun-Young Paeng
    Department of Oral and Maxillofacial Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong, Gangnam-Gu, Seoul, Republic of Korea. jypaeng@gmail.com.

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