Exploring the accuracy of tooth loss prediction between a clinical periodontal prognostic system and a machine learning prognostic model.

Journal: Journal of clinical periodontology
PMID: 39109394

Abstract

AIM: The aim of this analysis was to compare a clinical periodontal prognostic system and a developed and externally validated artificial intelligence (AI)-based model for the prediction of tooth loss in periodontitis patients under supportive periodontal care (SPC) for 10 years.

Authors

  • Pasquale Santamaria
    Centre for Host Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK.
  • Giuseppe Troiano
    University of Foggia, Department of Clinical and Experimental Medicine; Foggia,Italy.
  • Matteo Serroni
    Department of Periodontics and Oral Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Tiago G Araùjo
    Department of Periodontics and Oral Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Andrea Ravidà
    Department of Periodontics and Oral Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Luigi Nibali
    Periodontology Unit, Centre for Host Microbiome Interactions, King's College London, London, UK.

Keywords

External Resources

Popular Topics
Recent Journals