The Impact of Language Variability on Artificial Intelligence Performance in Regenerative Endodontics.

Journal: Healthcare (Basel, Switzerland)
Published Date: May 20, 2025

Abstract

BACKGROUND: Regenerative endodontic procedures (REPs) are promising treatments for immature teeth with necrotic pulp. Artificial intelligence (AI) is increasingly used in dentistry; thus, this study evaluates the reliability of AI-generated information on REPs, comparing four AI models against clinical guidelines.

Authors

  • Hatice Büyüközer Özkan
    Department of Endodontics, Faculty of Dentistry, Alanya Alaaddin Keykubat University, 07490 Alanya, Türkiye.
  • Tülin Doğan Çankaya
    Department of Endodontics, Faculty of Dentistry, Alanya Alaaddin Keykubat University, 07490 Alanya, Türkiye.
  • Türkay Kölüş
    Department of Restorative Dentistry, Faculty of Dentistry, Karamanoğlu Mehmetbey University, 70200 Karaman, Türkiye.

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