Bioengineering (Sep 2024)

The Use of Artificial Intelligence in Caries Detection: A Review

  • Khalifa S. Al-Khalifa,
  • Walaa Magdy Ahmed,
  • Amr Ahmed Azhari,
  • Masoumah Qaw,
  • Rasha Alsheikh,
  • Fatema Alqudaihi,
  • Amal Alfaraj

DOI
https://doi.org/10.3390/bioengineering11090936
Journal volume & issue
Vol. 11, no. 9
p. 936

Abstract

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Advancements in artificial intelligence (AI) have significantly impacted the field of dentistry, particularly in diagnostic imaging for caries detection. This review critically examines the current state of AI applications in caries detection, focusing on the performance and accuracy of various AI techniques. We evaluated 40 studies from the past 23 years, carefully selected for their relevance and quality. Our analysis highlights the potential of AI, especially convolutional neural networks (CNNs), to improve diagnostic accuracy and efficiency in detecting dental caries. The findings underscore the transformative potential of AI in clinical dental practice.

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