Artificial intelligence in endodontic decision-making: hallucinations and emerging challenges for clinical practice

Authors

  • Carlos Wesley Lopes Brasil da Silva Department of Restorative Dentistry and Endodontics, Discipline of Endodontics, Araçatuba School of Dentistry, São Paulo State University – UNESP, Araçatuba, SP, Brazil
  • Mariana Souza D’Afonseca Department of Restorative Dentistry and Endodontics, Discipline of Endodontics, Araçatuba School of Dentistry, São Paulo State University – UNESP, Araçatuba, SP, Brazil
  • Ana Luiza Gonzaga Zonca Department of Restorative Dentistry and Endodontics, Discipline of Endodontics, Araçatuba School of Dentistry, São Paulo State University – UNESP, Araçatuba, SP, Brazil
  • Jardel Francisco Mazzi Chaves Department of Restorative Dentistry, Discipline of Endodontics, Ribeirão Preto School of Dentistry, São Paulo University – USP, Avenue Café, Ribeirão Preto, SP, Brazil
  • Fabiane Carneiro Lopes Olhê Department of Restorative Dentistry, Discipline of Endodontics, Ribeirão Preto School of Dentistry, São Paulo University – USP, Avenue Café, Ribeirão Preto, SP, Brazil
  • Henrico Badaoui Strazzi-Sahyon Department of Restorative Dentistry and Endodontics, Discipline of Endodontics, Araçatuba School of Dentistry, São Paulo State University – UNESP, Araçatuba, SP, Brazil; Department of Prosthodontics and Periodontology, Bauru School of Dentistry, University of São Paulo – USP, Bauru, SP, Brazil
  • Gustavo Sivieri-Araujo Department of Restorative Dentistry and Endodontics, Discipline of Endodontics, Araçatuba School of Dentistry, São Paulo State University – UNESP, Araçatuba, SP, Brazil

DOI:

https://doi.org/10.2340/aos.v85.46515

Keywords:

Generative Artificial Intelligence, Endodontics, Cone-Beam Computed Tomography, Dentistry, Artificial Intelligence Hallucination

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References

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Gupta D, Shaw AK, Jadhav AB, Mhatre S, Mali SD, Patil AH. Diagnostic efficacy of artificial intelligence models for predicting endodontic outcome – a systematic review and meta-analysis. Indian J Dent Res. 2025;36(4):465–70. DOI: https://doi.org/10.4103/ijdr.ijdr_497_25

Doumani M, Almaqboul F, Alduwaysan SSS, Alzahrani MA, Al Ghamdi SA, Alzahrani MN, et al. Effectiveness of artificial intelligence in endodontic diagnosis and treatment evaluation: a systematic review. Cureus. 2025;17(11):e96091. DOI: https://doi.org/10.7759/cureus.96091

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Published

2026-07-16

Issue

Vol. 85: (2026): Acta Odontologica Scandinavica

Section

Letter to the Editor

License

Copyright (c) 2026 Carlos Wesley Lopes Brasil da Silva, Mariana Souza D’Afonseca, Ana Luiza Gonzaga Zonca, Jardel Francisco Mazzi Chaves, Fabiane Carneiro Lopes Olhê, Henrico Badaoui Strazzi-Sahyon, Gustavo Sivieri-Araujo

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This work is licensed under a Creative Commons Attribution 4.0 International License.