Large language models in periodontology: Assessing their performance in clinically relevant questions.

Journal: The Journal of prosthetic dentistry
Published Date: Nov 18, 2024

Abstract

STATEMENT OF PROBLEM: Although the use of artificial intelligence (AI) seems promising and may assist dentists in clinical practice, the consequences of inaccurate or even harmful responses are paramount. Research is required to examine whether large language models (LLMs) can be used in accessing periodontal content reliably.

Authors

  • Georgios S Chatzopoulos
    PhD candidate, Department of Preventive Dentistry, Periodontology and Implant Biology, School of Dentistry, Aristotle University of Thessaloniki, Thessaloniki, Greece; and Visiting Research Assistant Professor, Division of Periodontology, Department of Developmental and Surgical Sciences, School of Dentistry, University of Minnesota, Minneapolis, Minn.
  • Vasiliki P Koidou
    Research Associate, Centre for Oral Immunobiology and Regenerative Medicine and Centre for Oral Clinical Research, Institute of Dentistry, Queen Mary University of London (QMUL), London, England, UK. Electronic address: v.koidou@qmul.ac.uk.
  • Lazaros Tsalikis
    Professor, Department of Preventive Dentistry, Periodontology and Implant Biology, School of Dentistry, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Eleftherios G Kaklamanos
    School of Dentistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.

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