Detection of dental caries under fixed dental prostheses by analyzing digital panoramic radiographs with artificial intelligence algorithms based on deep learning methods.

Journal: BMC oral health
PMID: 39930440

Abstract

BACKGROUND: The aim of this study was to evaluate the efficacy of detecting dental caries under fixed dental prostheses (FDPs) through the analysis of panoramic radiographs utilizing convolutional neural network (CNN) based You Only Look Once (YOLO) models. Deep learning algorithms can analyze datasets of dental images, such as panoramic radiographs to accurately identify and classify carious lesions. Using artificial intelligence, specifically deep learning methods, may help practitioners to detect and diagnose caries using radiograph images.

Authors

  • Betül Ayhan
    Department of Prosthodontics, Faculty of Dentistry, Kırıkkale University, Kırıkkale, Türkiye. betars.mcf@gmail.com.
  • Enes Ayan
    Department of Computer Engineering, Faculty of Engineering and Architecture, Kırıkkale University, Kırıkkale, Turkey.
  • Saadet Atsü
    Department of Prosthodontics, Faculty of Dentistry, Kırıkkale University, Kırıkkale, Türkiye.

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