Advancements in Digital Cephalometric Analysis: A Comprehensive Review

Authors

  • Nagham Ahmed Abdelmegeed Department of Computer Science, Faculty of Computers and Artificial Intelligence, Sohag University, Egypt
  • E. A. Zanaty Department of Computer Science, Faculty of Computers and Artificial Intelligence, Sohag University, Egypt
  • A. H. El-Feky Department of Oral and Maxillofacial Surgery, Faculty of Dentistry -Boys -Al-Azhar University, Egypt
  • Mohamed Alaa Fahmy El-Ghamry Department of Computer Science, Faculty of Computers and Informatics, Zagazig University, Egypt

Keywords:

Artificial Intelligence, Facial, Jaw, Cephalometric x-rays

Abstract

Facial and jaw deformities are considered difficult problems that affect the health of society. Attempts have been made to treat and correct deformities by analyzing facial and jaw images. Specialized radiographs have emerged to diagnose these defects, such as cephalometric x-rays of the skull. Manual analysis of radiographs has been done by a group of specialized scientists such as William B. Downs, Charles H. Tweed, and others. With the introduction of artificial intelligence algorithms, it has been possible to use this technology to analyze images faster, more accurately, easier, and with high efficiency compared to the manual method.

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Published

2025-01-07

How to Cite

Abdelmegeed, N. A., Zanaty, E. A., El-Feky, A. H., & El-Ghamry, M. A. F. (2025). Advancements in Digital Cephalometric Analysis: A Comprehensive Review. International Journal of Computers and Informatics (Zagazig University), 6, 27–39. Retrieved from https://www.ijci.zu.edu.eg/index.php/ijci/article/view/96