Human identification via digital palatal scans: a machine learning validation pilot study.

Journal: BMC oral health
PMID: 39543590

Abstract

BACKGROUND: This study aims to validate a machine learning algorithm previously developed in a training population on a different randomly chosen population (i.e., test set). The discrimination potential of the palatal intraoral scan-based geometric and superimposition methods was evaluated.

Authors

  • Ákos Mikolicz
    Department of Restorative Dentistry and Endodontics, Semmelweis University, Budapest, Hungary.
  • Botond Simon
    Department of Restorative Dentistry and Endodontics, Semmelweis University, Budapest, Hungary. simon.botond.barna@semmelweis.hu.
  • Aida Roudgari
    Department of Restorative Dentistry and Endodontics, Semmelweis University, Budapest, Hungary.
  • Arvin Shahbazi
    Department of Restorative Dentistry and Endodontics, Semmelweis University, Budapest, Hungary.
  • János Vág
    Department of Restorative Dentistry and Endodontics, Semmelweis University, Budapest, Hungary.

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