Odontology and Artificial Intelligence

Authors

Keywords:

odontology, artificial intelligence, technology, dental

Abstract

Odontology and Artificial Intelligence

Downloads

Download data is not yet available.

Author Biographies

Lisneybi González González, Universidad de Ciencias Médicas de Matanzas

Universidad de Ciencias Médicas de Matanzas

Leandro L. Lorente Leyva, Universidad UTE, Quito 170147, Ecuador.

Universidad UTE, Quito 170147, Ecuador.

References

1. Alqahtani T, Badreldin HA, Alrashed M, Alshaya AI, Alghamdi SS, Bin Saleh K, et al. The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research. Res Social Adm Pharm. 2023; 19(8):1236-1242 DOI: 10.1016/j.sapharm.2023.05.016

2. Ducret M, Mörch CM, Karteva T, Fisher J, Schwendicke F. Artificial intelligence for sustainable oral healthcare. J Dent. 2022;127(1):104344. DOI: 10.1016/j.jdent.2022.104344

3. Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020; 99(7):769-74. DOI: 10.1177/0022034520915714

4. Thurzo A, Urbanová W, Novák B, Czako L, Siebert T, Stano P, et al. Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis. Healthcare (Basel). 2022; 10(7):1269-1328. DOI: 10.3390/healthcare10071269

Downloads

Published

2023-10-27

How to Cite

1.
González González L, Vega Jiménez J, Lorente Leyva LL. Odontology and Artificial Intelligence. Rev Cubana Med Milit [Internet]. 2023 Oct. 27 [cited 2025 Jun. 24];52(4):e023018125. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/18125

Issue

Vol. 52 No. 4 (2023): October - december

Section

Letter to the Editor

License

Authors who have publications with this Journal accept the following terms:

  • The authors will retain their copyright and guarantee the Journal the right of first publication of their work, which will simultaneously be subject to the Creative Commons Attribution License. The content presented here can be shared, copied and redistributed in any medium or format; Can be adapted, remixed, transformed or created from the material, using the following terms: Attribution (giving appropriate credit to the work, providing a link to the license, and indicating if changes have been made); non-commercial (you cannot use the material for commercial purposes) and share-alike (if you remix, transform or create new material from this work, you can distribute your contribution as long as you use the same license as the original work).
  • The authors may adopt other non-exclusive license agreements for the distribution of the published version of the work (for example: depositing it in an institutional electronic archive or publishing it in a monographic volume) as long as the initial publication in this Journal is indicated.
  • Authors are allowed and recommended to disseminate their work through the Internet (e.g., in institutional electronic archives or on their website) before and during the submission process, which can produce interesting exchanges and increase citations. of the published work.