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August 15, 2025Dentistry JournalOpen Access

Charting New Territory: AI Applications in Dental Caries Detection from Panoramic Imaging

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Authors

MHMan HungDYDaniel YevseyevichMKMohamed Mokrane Khazana

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Overview

Scoping review analyzes AI's impact on dental caries detection in panoramic radiographs, suggesting improved diagnostic support and efficiency.

Key Points

  • AI applications show potential in improving diagnostic accuracy for dental caries, enhancing early detection and treatment.
  • The Deep Learning Model achieved an accuracy of 97.89% in detecting dental caries, outperforming other models in the review.
  • This scoping review included analysis of peer-reviewed studies using AI programs on panoramic radiographs for caries diagnosis.
  • Challenges such as dataset biases and interpretability must be addressed to effectively integrate AI into clinical practice.

Cite This Study

Hung et al. (2025) studied this question.

synapsesocial.com/papers/68a365740a429f797332be47https://doi.org/10.3390/dj13080366
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Also Consider

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

  1. 1Artificial Intelligence Tools for Dental Caries Detection: A Scoping Review2025 · 1 citations
  2. 2Advancing caries detection in dentistry: A narrative review of artificial intelligence applications2025
  3. 3Artificial Intelligence Integrated with Intraoral Digital Imaging in Dental Caries Detection, Treatment Planning, and Clinical Decision-Making: A Scoping Review2026
  4. 4THE ROLE OF AI IN INTERPRETING PANORAMIC DENTAL X-RAYS A NARRATIVE REVIEW2025
  5. 5Artificial Intelligence Tools for Dental Caries Detection: An Exploratory Systematic Review2025 · 2 citations