PAINe: An Artificial Intelligence-based Virtual Assistant to Aid in the Differentiation of Pain of Odontogenic versus Temporomandibular Origin.

Journal: Journal of endodontics
PMID: 39342988

Abstract

INTRODUCTION: Pain associated with temporomandibular dysfunction (TMD) is often confused with odontogenic pain, which is a challenge in endodontic diagnosis. Validated screening questionnaires can aid in the identification and differentiation of the source of pain. Therefore, this study aimed to develop a virtual assistant based on artificial intelligence using natural language processing techniques to automate the initial screening of patients with tooth pain.

Authors

  • Bianca Marques de Mattos de Araujo
    School of Dentistry, Department of Endodontics, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil.
  • Pedro Felipe de Jesus Freitas
    School of Dentistry, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
  • Angela Graciela Deliga Schroder
    School of Dentistry, Department of Endodontics, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
  • Erika Calvano Küchler
    Department of Orthodontics, Medical Faculty, University Hospital Bonn, Bonn, Germany.
  • Flares Baratto-Filho
    University of the Region of Joinville (Univille), Joinville, Santa Catarina, Brazil.
  • Vania Portela Ditzel Westphalen
    School of Dentistry, Department of Endodontics, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil.
  • Everdan Carneiro
    School of Dentistry, Department of Endodontics, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil.
  • Ulisses Xavier da Silva-Neto
    School of Dentistry, Department of Endodontics, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil.
  • Cristiano Miranda de Araujo
    Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.

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