Automated machine learning for image-based detection of dental plaque on permanent teeth.

Journal: Frontiers in dental medicine
Published Date:

Abstract

INTRODUCTION: To detect dental plaque, manual assessment and plaque-disclosing dyes are commonly used. However, they are time-consuming and prone to human error. This study aims to investigate the feasibility of using Google Cloud's Vertex artificial intelligence (AI) automated machine learning (AutoML) to develop a model for detecting dental plaque levels on permanent teeth using undyed photographic images.

Authors

  • Teerachate Nantakeeratipat
    Department of Conservative Dentistry and Prosthodontics, Faculty of Dentistry, Srinakharinwirot University, Bangkok, Thailand.
  • Natchapon Apisaksirikul
    Faculty of Dentistry, Srinakharinwirot University, Bangkok, Thailand.
  • Boonyaon Boonrojsaree
    Faculty of Dentistry, Srinakharinwirot University, Bangkok, Thailand.
  • Sirapob Boonkijkullatat
    Faculty of Dentistry, Srinakharinwirot University, Bangkok, Thailand.
  • Arida Simaphichet
    Faculty of Dentistry, Srinakharinwirot University, Bangkok, Thailand.

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