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Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review.

Aravind Kumar Subramanian1, Yong Chen1,2, Abdullah Almalki3

  • 1Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, India.

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Artificial intelligence (AI) enhances orthodontic cephalometric analysis by improving accuracy and efficiency. This technology aids in diagnosis, treatment planning, and prognosis, offering a reliable, time-saving tool for clinicians and researchers.

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Area of Science:

  • Orthodontics
  • Artificial Intelligence (AI)
  • Machine Learning

Background:

  • AI, encompassing machine learning, is increasingly applied in medicine and dentistry.
  • Cephalometric analysis is crucial for orthodontic diagnosis, treatment planning, and prognosis.
  • Current AI advancements offer improved efficiency, accuracy, and reliability in medical applications.

Purpose of the Study:

  • To provide an overview of artificial intelligence applications in orthodontic cephalometric analysis.
  • To highlight the impact of AI on the precision and accuracy of dental work.
  • To discuss the potential of AI in routine clinical practice and research.

Main Methods:

  • This narrative review synthesizes current literature on AI in cephalometric analysis.
  • Focuses on advancements in algorithms and computational resources.
  • Examines automated cephalometric landmark identification techniques.

Main Results:

  • AI, particularly machine learning, demonstrates significant improvements in efficiency, accuracy, and reliability for cephalometric analysis.
  • Automated landmark identification techniques show promise for routine clinical use.
  • AI tools are time-saving and reliable for both clinical practice and research data analysis.

Conclusions:

  • AI is a valuable and promising tool for enhancing cephalometric tracing and analysis in orthodontics.
  • AI integration can lead to more precise diagnoses, better treatment planning, and improved prognosis estimation.
  • The continued development of AI algorithms will further revolutionize orthodontic practice and research.