Validation of artificial intelligence application for dental caries diagnosis on intraoral bitewing and periapical radiographs.

Journal: Journal of dentistry
PMID: 38821394

Abstract

OBJECTIVES: This study aimed to assess the reliability of AI-based system that assists the healthcare processes in the diagnosis of caries on intraoral radiographs.

Authors

  • Viktor Szabó
    Department of Oral Diagnostics, Faculty of Dentistry, Semmelweis University, Budapest, Hungary.
  • Bence Tamás Szabó
    Department of Oral Diagnostics, Faculty of Dentistry, Semmelweis University, Budapest, Hungary. Electronic address: szabo.bence.tamas@semmelweis.hu.
  • Kaan Orhan
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Dentomaxillofacial Radiologist, Ankara University, Ankara, Turkey.
  • Dániel Sándor Veres
    Department of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
  • David Manulis
    Diagnocat Inc, San Francisco, CA, USA.
  • Matvey Ezhov
    Diagnocat, Inc, San Francisco, USA.
  • Alex Sanders
    Diagnocat Inc, San Francisco, CA, USA.

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