Accuracy of Artificial Intelligence Models in the Prediction of Periodontitis: A Systematic Review.

Journal: JDR clinical and translational research
PMID: 38589339

Abstract

INTRODUCTION: Periodontitis is the main cause of tooth loss and is related to many systemic diseases. Artificial intelligence (AI) in periodontics has the potential to improve the accuracy of risk assessment and provide personalized treatment planning for patients with periodontitis. This systematic review aims to examine the actual evidence on the accuracy of various AI models in predicting periodontitis.

Authors

  • A Polizzi
    Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, University of Catania, Catania, Italy.
  • V Quinzi
    Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
  • A Lo Giudice
    Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, University of Catania, Catania, Italy.
  • G Marzo
    Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
  • R Leonardi
    Department of Orthodontics, University of Catania, Via Santa Sofia, 78 - 95125 - Catania, Italy. Electronic address: rleonardi@unict.it.
  • G Isola
    Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, University of Catania, Catania, Italy.

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