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<p>Detecting and diagnosing oral lesions in bitewing dental images are crucial in early intervention and improved oral healthcare outcomes since traditional methods depend on dental professionals to identify the abnormalities. The aim of this paper is to propose an automated system using deeplearning to detect and diagnose lesions of bitewing images in order to overcome the limitation of traditional detection method. The solution proposed in this paper combines a Convolutional Neural Network (CNN) with the YOLOv5 algorithm. This integration enables lesions detection in images. Then, the Raspberry Pi is used as a low-cost edge device to implement the AI-based Diagnosing system. The proposed AI-based solution could be used as an assistant for diagnosing and detecting oral lesions. The integration between AI techniques and automated systems can guarantee the accurate and re- peatable execution of dental procedures. </p>

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Revolutionize dental diagnostics: AI-powered detection and localization of oral lesions using edge devices

  • 期刊论文

  • 发表日期：

    2025年9月22日

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  • Talal Bonny,
  • Abd Alrhman Hammal,
  • Wafaa Al Nassan,
  • Mohamed Elhoseny

摘要

Detecting and diagnosing oral lesions in bitewing dental images are crucial in early intervention and improved oral healthcare outcomes since traditional methods depend on dental professionals to identify the abnormalities. The aim of this paper is to propose an automated system using deeplearning to detect and diagnose lesions of bitewing images in order to overcome the limitation of traditional detection method. The solution proposed in this paper combines a Convolutional Neural Network (CNN) with the YOLOv5 algorithm. This integration enables lesions detection in images. Then, the Raspberry Pi is used as a low-cost edge device to implement the AI-based Diagnosing system. The proposed AI-based solution could be used as an assistant for diagnosing and detecting oral lesions. The integration between AI techniques and automated systems can guarantee the accurate and re- peatable execution of dental procedures.