Large Language Models in peri-implant disease: How well do they perform?

Journal: The Journal of prosthetic dentistry
Published Date: Mar 6, 2025

Abstract

STATEMENT OF PROBLEM: Artificial intelligence (AI) has gained significant recent attention and several AI applications, such as the Large Language Models (LLMs) are promising for use in clinical medicine and dentistry. Nevertheless, assessing the performance of LLMs is essential to identify potential inaccuracies or even prevent harmful outcomes.

Authors

  • 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.
  • 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.
  • Lazaros Tsalikis
    Professor, Department of Preventive Dentistry, Periodontology and Implant Biology, School of Dentistry, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Eleutherios G Kaklamanos
    Associate Professor, Department of Preventive Dentistry, Periodontology and Implant Biology, School of Dentistry, Aristotle University of Thessaloniki, Greece; Associate Professor, School of Dentistry, European University Cyprus, Nicosia, Cyprus; and Adjunct Associate Professor, Hamdan bin Mohammed College of Dental Medicine, Mohammed bin Rashid University of Medicine and Health Sciences (MBRU), Dubai, United Arab Emirates.

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