Lateral cephalometric parameters among Arab skeletal classes II and III patients and applying machine learning models.

Journal: Clinical oral investigations
PMID: 39223280

Abstract

BACKGROUND: The World Health Organization considers malocclusion one of the most essential oral health problems. This disease influences various aspects of patients' health and well-being. Therefore, making it easier and more accurate to understand and diagnose patients with skeletal malocclusions is necessary.

Authors

  • Kareem Midlej
    Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, University of Tel-Aviv, Tel-Aviv, 6997801, Israel.
  • Nezar Watted
    Center for Dentistry Research and Aesthetics, Jatt, 4491800, Israel.
  • Obaida Awadi
    Center for Dentistry Research and Aesthetics, Jatt, 4491800, Israel.
  • Samir Masarwa
    Center for Dentistry Research and Aesthetics, Jatt, 4491800, Israel.
  • Iqbal M Lone
    Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, University of Tel-Aviv, Tel-Aviv, 6997801, Israel.
  • Osayd Zohud
    Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, University of Tel-Aviv, Tel-Aviv, 6997801, Israel.
  • Eva Paddenberg
    Department of Orthodontics, University Hospital of Regensburg, University of Regensburg, 93047, Regensburg, Germany.
  • Sebastian Krohn
    Department of Orthodontics, University Hospital of Regensburg, University of Regensburg, 93047, Regensburg, Germany.
  • Erika Kuchler
    Department of Orthodontics, University of Bonn, D-53111, Bonn, Germany.
  • Peter Proff
    Department of Orthodontics, University Hospital of Regensburg, University of Regensburg, 93047, Regensburg, Germany.
  • Fuad A Iraqi
    Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, University of Tel-Aviv, Tel-Aviv, 6997801, Israel. fuadi@tauex.tau.ac.il.

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