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Area of Science:

  • Dentistry
  • Artificial Intelligence
  • Health Informatics

Background:

  • Artificial intelligence (AI) is increasingly integrated into various medical fields.
  • Its application in dentistry is rapidly evolving, necessitating a review of current research.

Purpose of the Study:

  • To systematically review the quality and outcomes of studies on artificial intelligence techniques in dentistry.
  • To assess the impact and applications of AI across different dental specialties.

Main Methods:

  • A systematic search was conducted across five major databases (PubMed/MEDLINE, Scopus, ScienceDirect, Web of Science, Cochrane).
  • MeSH keywords included 'artificial intelligence,' 'dentistry,' 'AI in dentistry,' 'neural networks,' 'machine learning,' 'AI dental imaging,' and 'AI treatment recommendations.'
  • Thirty-two full-text articles were selected and analyzed based on predefined criteria, focusing on study characteristics, methods, outcomes, and quality.

Main Results:

  • The review included 32 articles, identifying AI's capability for accurate patient management, diagnosis, prediction, and decision-making.
  • AI demonstrated reliability in enhancing diagnostic dentistry, patient management, restorative dentistry, orthodontics, radiology, and periodontics.
  • AI applications were noted in areas such as head and neck cancer treatment planning.

Conclusions:

  • Artificial intelligence serves as a reliable tool to enhance dental care, making it smoother, more efficient, and cost-effective.
  • AI assists practitioners in meeting patient expectations, ensuring quality treatment, and achieving precision in dental procedures.
  • While AI shows significant promise in dentistry, further research is needed to evaluate the clinical performance of these evolving techniques.