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August 2, 2026Journal of Applied Dentistry and Oral SciencesOpen Access

AI-driven Dentistry

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Authors

RFRosana FarjaminejadMJMahsa JalaliAGAlexander García-Godoy

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Overview

Review summarizes AI applications in dentistry, highlighting implications for diagnosis and personalized care.

Key Points

  • This review examines how AI is being utilized across various dental specialties and assesses its benefits for diagnosis and treatment.
  • Narratively reviewed published evidence on AI applications in multiple dental fields.
  • Focused on AI models, their clinical uses, performance metrics, and challenges for implementation.
  • Highlighted applications in specialties such as radiology, orthodontics, periodontology, and pediatric dentistry.
  • AI shows effectiveness in detecting dental issues like caries and alveolar bone loss using convolutional neural networks.
  • Hybrid models integrating various data types have improved risk assessment capabilities.
  • Clinical validations remain limited due to reliance on small, nondiverse datasets.

Cite This Study

Farjaminejad et al. (2026) studied this question.

synapsesocial.com/papers/6a6eeb101b0468a7eeab3db0https://doi.org/10.1177/30497418261466753
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