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February 27, 2024Clinical Oral Investigations39 citationsOpen Access

A novel deep learning-based perspective for tooth numbering and caries detection

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BABaturalp AyhanEAEnes AyanYBYusuf Bayraktar

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Abstract

The aim of this study was automatically detecting and numbering teeth in digital bitewing radiographs obtained from patients, and evaluating the diagnostic efficiency of decayed teeth in real time, using deep learning algorithms.

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Cite This Study

Ayhan et al. (2024) studied this question.

synapsesocial.com/papers/68e77566b6db6435876e9fa5https://doi.org/10.1007/s00784-024-05566-w
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Clinical application of deep learning for enhanced multistage caries detection in panoramic radiographs2025
  2. 2Automated Tooth Detection and Caries Identification in CBCT With Deep Learning2026 · 1 citations
  3. 3Developing an Artificial Intelligence Software to Aid in Dental Caries Detection2026
  4. 4Detection of caries around restorations on bitewings using deep learning2024 · 34 citations
  5. 5Caries detection in primary molars with bitewing radiographs through deep learning based-object detectors2025