Detection of the pathological exposure of pulp using an artificial intelligence tool: a multicentric study over periapical radiographs.

Journal: BMC oral health
PMID: 37563659

Abstract

BACKGROUND: Introducing artificial intelligence (AI) into the medical field proved beneficial in automating tasks and streamlining the practitioners' lives. Hence, this study was conducted to design and evaluate an AI tool called Make Sure Caries Detector and Classifier (MSc) for detecting pathological exposure of pulp on digital periapical radiographs and to compare its performance with dentists.

Authors

  • A Altukroni
    Ministry of Health, Medina, Saudi Arabia. research-manager@swc-dent.com.
  • A Alsaeedi
    Department of Computer Science, College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia.
  • C Gonzalez-Losada
    School of Dentistry, Complutense University of Madrid, Madrid, Spain.
  • J H Lee
    a National Leading Research Laboratory (NLRL) of Molecular Modeling & Drug Design, College of Pharmacy and Graduate School of Pharmaceutical Sciences , Ewha Womans University , Seoul , Republic of Korea.
  • M Alabudh
    Ministry of Health, Medina, Saudi Arabia.
  • M Mirah
    Department of Dental Materials, Taibah University, Medina, Saudi Arabia.
  • S El-Amri
    Ministry of Health, Ankara, Turkey.
  • O Ezz El-Deen
    Ministry of Health, Cairo, Egypt.

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