INTELLIGENT SCREENING: PREDICTIVE VALIDATION OF CHATBOT USING ARTIFICIAL INTELLIGENCE TO PRE-SCREEN PATIENTS FOR UNIVERSITY CLINIC

Authors

  • Ketsia Ferreira Universidade Federal do Pará
  • Douglas Almeida Vidal Universidade Federal do Pará
  • Luana Jhennyfer da Costa Pantoja Universidade Federal do Pará
  • Osmir Batista de Oliveira Júnior Universidade Estadual Paulista Júlio de Mesquisa Filho
  • Diego Lisboa Cardoso Universidade Federal do Pará
  • Marcos César Rocha Seruffo Universidade Federal do Pará
  • Fernanda Ferreira de Albuquerque Jassé Universidade Federal do Pará
  • Diandra Costa Arantes Universidade Federal do Pará

DOI:

https://doi.org/10.61164/rmnm.v12i2.2811

Keywords:

Dentistry; Patients; Triage; Artificial Intelligence.

Abstract

The Faculty of Dentistry of the Federal University of Pará presents obstacles in the screening patients. Objective: to carry out the predictive validation of a chatbot developed to pre-screen patients. Methods: this is a quantitative cross-sectional study to compare the data reported by humans to the chatbot with the clinical examination. Thirty individuals made up the sample. Fisher's Exact, accuracy and Cohen's Kappa tests were applied. Results: The use of cell phones for scheduling appointments was statistically different (p=0.025) among those who use it to read news. There was agreement above 80% between the measurement of the chatbot and the clinical examination; perfect reproducibility (Kappa>0.800, p<0.001) for permanent tooth loss and edentulous upper arch; and regular reproducibility (Kappa<0.400, p<0.05) for tooth mobility, tartar and gingival bleeding. Conclusion: the chatbot presented satisfactory reproducibility, agreement and accuracy ​​for dental parameters and painful symptoms. Conditions related to the periodontium presented unsatisfactory results.

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Published

2024-11-13

Issue

Vol. 12 No. 2 (2024): Revista Multidisciplinar do Nordeste Mineiro

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Artigos

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How to Cite

INTELLIGENT SCREENING: PREDICTIVE VALIDATION OF CHATBOT USING ARTIFICIAL INTELLIGENCE TO PRE-SCREEN PATIENTS FOR UNIVERSITY CLINIC. (2024). REMUNOM, 12(2). https://doi.org/10.61164/rmnm.v12i2.2811