Artificial intelligence in maxillofacial radiology: threat or tool?

Authors

  • Daniel Pinto Agüero Universidad Finis Terrae. Santiago, Chile. Asociación Latinoamericana de Radiología e Imagenología Dentomaxilofacial. Santiago, Chile
  • Martina Jácome Hidalgo Complejo Asistencial Dr. Sótero del Río. Santiago, Chile

DOI:

https://doi.org/10.20453/reh.v34i1.5325

Abstract

 

 

 

References

Garzón Diaz FA. Bioethics in the era of artificial intelligence (AI). Rev Latinoam Bioét [Internet]. 2022; 22(1): 8-10. Disponible en: https://doi.org/10.18359/rlbi.6149

Srivastava MM, Kumar P, Pradhan L, Varadarajan S. Detection of tooth caries in bitewing radiographs using deep learning [Internet]. ArXiv; 2017. Disponible en: https://arxiv.org/abs/1711.07312v2

Putra RH, Doi C, Yoda N, Astuti ER, Sasaki K. Current applications and development of artificial intelligence for digital dental radiography. Dentomaxillofac Radiol [Internet]. 2021; 15(1): 20210197. Disponible en: https://doi.org/10.1259/dmfr.20210197

Ursin F, Timmermann C, Steger F. Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary? Bioethics [Internet]. 2021; 36(2): 143-153. Disponible en: https://doi.org/10.1111/bioe.12918

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Published

2024-03-31

How to Cite

1.
Agüero DP, Jácome Hidalgo M. Artificial intelligence in maxillofacial radiology: threat or tool?. Rev Estomatol Herediana [Internet]. 2024 Mar. 31 [cited 2024 May 16];34(1):111-3. Available from: https://revistas.upch.edu.pe/index.php/REH/article/view/5325

Issue

Vol. 34 No. 1 (2024)

Section

LETTERS TO THE EDITOR

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Copyright (c) 2024 Daniel Pinto Agüero, Martina Jácome Hidalgo

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