Comparative accuracy of artificial intelligence chatbots in pulpal and periradicular diagnosis: A cross-sectional study.

Journal: Computers in biology and medicine
Published Date: Oct 30, 2024

Abstract

OBJECTIVES: This study aimed to evaluate the diagnostic accuracy and treatment recommendation performance of four artificial intelligence chatbots in fictional pulpal and periradicular disease cases. Additionally, it investigated response consistency and the influence of text order and language on chatbot performance.

Authors

  • João Daniel Mendonça de Moura
    Postgraduate Program in Clinical Dentistry, University Center of Pará (CESUPA), Belém, Pará, Brazil. Electronic address: joaodanielmoura@gmail.com.
  • Carlos Eduardo Fontana
    Center for Health Sciences, Pontifical Catholic University of Campinas (PUC-Campinas), Postgraduate Program in Health Sciences, Campinas, São Paulo, Brazil.
  • Vitor Henrique Reis da Silva Lima
    Endodontics Specialization Program, University Center of Pará (CESUPA), Belém, Pará, Brazil.
  • Iris de Souza Alves
    Dentistry Program, University Center of Pará (CESUPA), Belém, Pará, Brazil.
  • Paulo André de Melo Santos
    Postgraduate Program in Clinical Dentistry, University Center of Pará (CESUPA), Belém, Pará, Brazil.
  • Patrícia de Almeida Rodrigues
    Postgraduate Program in Clinical Dentistry, University Center of Pará (CESUPA), Belém, Pará, Brazil.

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