Enhancing patient-centered information on implant dentistry through prompt engineering: a comparison of four large language models.

Journal: Frontiers in oral health
Published Date:

Abstract

BACKGROUND: Patients frequently seek dental information online, and generative pre-trained transformers (GPTs) may be a valuable resource. However, the quality of responses based on varying prompt designs has not been evaluated. As dental implant treatment is widely performed, this study aimed to investigate the influence of prompt design on GPT performance in answering commonly asked questions related to dental implants.

Authors

  • John Rong Hao Tay
    Department of Restorative Dentistry, National Dental Centre Singapore, Singapore, Singapore.
  • Dian Yi Chow
    Department of Restorative Dentistry, National Dental Centre Singapore, Singapore, Singapore.
  • Yi Rong Ivan Lim
    Private Practice, Royce Dental Group, Singapore, Singapore.
  • Ethan Ng
    Department of Restorative Dentistry, National Dental Centre Singapore, Singapore, Singapore.

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