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July 15, 2025World Journal of Biology Pharmacy and Health Sciences

Advancing caries detection in dentistry: A narrative review of artificial intelligence applications

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Authors

SCShabnam Mohammed CharlieMPMehrdad PanjnoushHFHoorieh Bashizadeh Fakhar

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Overview

Narrative review highlights artificial intelligence boosts caries detection accuracy in dentistry, suggesting improved outcomes.

Key Points

  • AI enhances caries detection accuracy, achieving rates over 80% and nearing 99%, significantly surpassing traditional methods.
  • Convolutional neural networks (CNNs) excel in analyzing dental images, improving early detection of carious lesions effectively.
  • Traditional diagnostic methods face limitations such as human error, while AI offers fast and consistent detection capabilities.
  • Successful AI integration requires collaboration among dental professionals and regulators to ensure ethical and safe practices.

Cite This Study

Charlie et al. (2025) studied this question.

synapsesocial.com/papers/689a02bce6551bb0af8cc5e7https://doi.org/10.30574/wjbphs.2025.23.1.0664
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Also Consider

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

  1. 1A Systematic Review on the Future of Dental Diagnosis: Applications and Challenges of Artificial Intelligence2025
  2. 2Artificial Intelligence in Dental Health Informatics: Advancing Early Diagnosis, Clinical Decision-Making, and Economic Efficiency2026
  3. 3Artificial intelligence in dentistry: A comprehensive review of past, present, and future directions2025
  4. 4Artificial Intelligence in Contemporary Dental Diagnostics and Clinical Informatics: Clinical Applications, Challenges, and Economic Implications2026
  5. 5AI-driven Dentistry2026 · 1 citations