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Artificial Intelligence (AI) is transforming dentistry, offering new tools for dental professionals. This review explores AI

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Area of Science:

  • Dentistry
  • Artificial Intelligence
  • Machine Learning

Background:

  • Artificial Intelligence (AI) has evolved significantly since its inception in 1950, becoming practical in the last two decades.
  • The advancement of big data, computational power, and AI algorithms has driven AI's integration into various aspects of daily life.
  • AI adoption in dentistry spans all disciplines, with image-based diagnostics being the most prevalent application.

Purpose of the Study:

  • To review the history and classification of AI.
  • To summarize current AI applications in dentistry.
  • To discuss the relationship between Evidence-Based Dentistry (EBD) and Machine Learning (ML) for dental professionals.

Main Methods:

  • Literature review of AI history, classification, and applications in dentistry.
  • Analysis of AI's role in different dental specialties.
  • Discussion on the synergy between EBD and ML in clinical decision-making.

Main Results:

  • AI applications in dentistry are predominantly focused on diagnostic tasks using radiographic or optical images.
  • Challenges such as data availability, uniformity, and computational power limit AI's application in non-image-based tasks, especially with 3D data.
  • Machine learning models, trained on human expertise, can serve as valuable tools to support dental professionals in various clinical stages.

Conclusions:

  • AI is increasingly integrated into dentistry, enhancing diagnostic capabilities.
  • Further development is needed to overcome limitations in data and computation for broader AI applications.
  • AI, particularly ML, can augment Evidence-Based Dentistry, improving efficiency and supporting dental professionals in routine work.