Uso de Internet por los dentistas. Revisión de la literatura

  1. Alfredo Hernández-Díaz Fernández de Heredia 1
  2. Carmen Anaya-Aguilar 2
  3. Eva Mª Rosel Gallardo 3
  1. 1 Universitat Oberta de Catalunya
    info

    Universitat Oberta de Catalunya

    Barcelona, España

    ROR https://ror.org/01f5wp925

  2. 2 Universidad de Málaga
    info

    Universidad de Málaga

    Málaga, España

    ROR https://ror.org/036b2ww28

  3. 3 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Show affiliations +
Journal:
Labor dental clínica: Avances clínicos en odontoestomatología

ISSN: 1888-4040

Year of publication: 2022

Volume: 23

Issue: 4

Pages: 35-46

Type: Article

DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Labor dental clínica: Avances clínicos en odontoestomatología

Abstract

Objectives The objective of this article is to review the current digitalization of dentistry, technological advances, limitations and challenges to guarantee quality and efficiency in dental care. Methods This review is divided into the following discussion topics, the utilization of augmented and virtual reality, digital scanners, telemedicine in dentistry, artificial intelligence, and digital oral health record. We have included 30 relevant references after evaluating the titles, abstracts and texts from the databases: Web of Science, Scopus and PubMed from the last 3 years (2019-2022). Results After application digital tools in dentistry, it is possible to achieve more efficient and precise processes in a shorter time. Conclusions This work shows how digitization is increasingly being applied normally in the dental sector, improving results in terms of efficiency, time and costs.

Bibliographic References

  • 1. Favaretto M, Shaw D, De Clercq E, Joda T, Elger BS. Big Data and Digitalization in Dentistry: A Systematic Review of the Ethical Issues. Int J Environ Res Public Health. 2020;17(7):2495.
  • 2. Joda T, Bornstein MM, Jung RE, Ferrari M, Waltimo T, Zitzmann NU. Recent Trends and Future Direction of Dental Research in the Digital Era. Int J Environ Res Public Health. 2020;17(6):1987.
  • 3. Rekow ED. Digital dentistry: The new state of the art - Is it disruptive or destructive? Dent Mater. 2020;36(1):9-24. .
  • 4. Farronato M, Maspero C, Lanteri V, Fama A, Ferrati F, Pettenuzzo A, Farronato D. Current state of the art in the use of augmented reality in dentistry: a systematic review of the literature. BMC Oral Health. 2019;19(1):135. .
  • 5. Ayoub A; Pulijala Y. The application of virtual reality and augmented reality in Oral & Maxillofacial Surgery. BMC Oral Health 2019; 19:238..
  • 6. Ferro AS, Nicholson K, Koka S. Innovative Trends in Implant Dentistry Training and Education: A Narrative Review. Journal of Clinical Medicine. 2019; 8(10):1618..
  • 7. Joda T, Zitzmann UN. Personalized workflows in reconstructive dentistry— current possibilities and future opportunities. Clin Oral Invest. 2022; 26: 4283–4290.
  • 8. Towers A, Field J, Stokes C, Maddock S, Martin N. A scoping review of the use and application of virtual reality in pre-clinical dental education. Br Dent J. 2019;226(5):358-366..
  • 9. Zimmermann M, Ender A, Mehl A. Local accuracy of actual intraoral scanning systems for single-tooth preparations in vitro. J Am Dent Assoc. 2020;151(2):127-135. .
  • 10. Mangano FG, Admakin O, Bonacina M, Lerner H, Rutkunas V, Mangano C. Trueness of 12 intraoral scanners in the full-arch implant impression: a comparative in vitro study. BMC Oral Health. 2020: 20:263.
  • 11. Christopoulou I, Kaklamanos EG, Makrygiannakis MA, Bitsanis I, Perlea P, Tsolakis AI. Intraoral Scanners in Orthodontics: A Critical Review. Int J Environ Res Public Health. 2022;19(3):1407..
  • 12. Besimo CE, Zitzmann NU, Joda T. Digital Oral Medicine for the Elderly. Int J Environ Res Public Health. 2020;17(7):2171..
  • 13. Martin N, Shahrbaf S, Towers A, Stokes C, Storey C. Remote clinical consultations in restorative dentistry: a clinical service evaluation study. Br Dent J. 2020;228(6):441-447. .
  • 14. Deshpande S, Patil D, Dhokar A, Bhanushali P, Katge F. Teledentistry: A Boon Amidst COVID-19 Lockdown-A Narrative Review. Int J Telemed Appl. 2021; 2021:8859746.
  • 15. Maspero C, Abate A, Cavagnetto D, El Morsi M, Fama A, Farronato M. Available Technologies, Applications and Benefits of Teleorthodontics. A Literature Review and Possible Applications during the COVID-19 Pandemic. J Clin Med. 2020 ;9(6):1891. .
  • 16. Menhadji P, Patel R, Asimakopoulou K, Quinn B, Khoshkhounejad G, Pasha P, Garcia Sanchez R, Ide M, Kalsi P, Nibali L. Patients’ and dentists’ perceptions of tele-dentistry at the time of COVID-19. A questionnaire-based study. J Dent. 2021;113:103782..
  • 17. Plaza-Ruíz SP, Barbosa-Liz DM, Agudelo-Suárez AA. Impact of COVID-19 on the Knowledge and Attitudes of Dentists toward Teledentistry. JDR Clin Trans Res. 2021;6(3):268-278. .
  • 18. Currie G. Intelligent Imaging: Anatomy of Machine Learning and Deep Learning. J Nucl Med Technol. 2019;47(4):273-281. .
  • 19.- Ahmed N, Abbasi MS., Zuberi F, QamarW, Halim MS, Maqsood A, Alam MK. Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry—A Systematic Review. BioMed Research International, 2021..
  • 20. Schwendicke F, Elhennawy K, Paris S, Friebertshäuser P, Krois J. Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study. J Dent. 2020;92:103260..
  • 21. Prados-Privado M, García Villalón J, Martínez-Martínez CH, Ivorra C, Prados-Frutos JC. Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review. J Clin Med. 2020; 9(11):3579..
  • 22. Schwendicke F, Rossi JG, Göstemeyer G, Elhennawy K, Cantu AG, Gaudin R, Chaurasia A, Gehrung S, Krois J. Cost-effectiveness of Artificial Intelligence for Proximal Caries Detection. J Dent Res. 2021;100(4):369-376..
  • 23. Takahashi T, Nozaki K, Gonda T, Ikebe K. A system for designing removable partial dentures using artificial intelligence. Part 1. Classification of partially edentulous arches using a convolutional neural network. J Prosthodont Res. 2021;65(1):115-118. .
  • 24. Kunz F, Stellzig-Eisenhauer A, Zeman F, Boldt J. Artificial intelligence in orthodontics : Evaluation of a fully automated cephalometric analysis using a customized convolutional neural network. J Orofac Orthop. 2020;81(1):52-68..
  • 25. Shan T, Tay FR, Gu L. Application of Artificial Intelligence in Dentistry. J Dent Res. 2021;100(3):232-244. .
  • 26. Nanayakkara S, Zhou X, Spallek H. Impact of big data on oral health outcomes. Oral Dis. 2019;25(5):1245-1252. .
  • 27. Shan T, Tay FR, Gu L. Application of Artificial Intelligence in Dentistry. J Dent Res. 2021;100(3):232-244. .
  • 28. Currie G, Hawk KE, Rohren EM. Ethical principles for the application of artificial intelligence (AI) in nuclear medicine. Eur J Nucl Med Mol Imaging. 2020;47(4):748-752. .
  • 29. Pethani F. Promises and perils of artificial intelligence in dentistry. Aust Dent J 2021;66(2):124-135. 30. Sunny S, Baby A, James BL, Balaji D, Aparna NV, Rana MH et AL. A smart tele-cytology point-of-care platform for oral cancer screening. PLoS One. 2019;14(11):e0224885 .
Data source: Dialnet