Digital Dentistry Applied in Orthodontics: A Bibliographic Review

Authors

DOI:

https://doi.org/10.15517/cw0baw41

Keywords:

Orthodontic treatment; Digital; Diagnosis; Planning.

Abstract

Developments in digital technologies have transformed dental practice, including orthodontics, by facilitating more accurate diagnoses and personalized treatments. This review aims to evaluate how digital dentistry has impacted diagnosis and planning in orthodontics, highlighting its precision and utility compared to traditional methods. A literature review was conducted following PRISMA guidelines in September 2024. Relevant studies were identified through searches on PubMed and SCOPUS using the keywords “( "orthodontic treatment" ) AND digital AND ( diagnosis OR planning )”. After the inclusion and exclusion criteria were applied, 10 articles were selected for final analysis. The reviewed studies emphasize that digital models are effective tools for orthodontic diagnosis and treatment planning, offering advantages such as reduced clinical time and improved accuracy in simulating dental movements. Technologies, including intraoral scanners and digital setups have shown to be especially effective in handling complex cases. Additionally, the use of CBCT combined with artificial intelligence has enhanced airway evaluation and provided more comprehensive diagnoses. However, the literature also highlights limitations associated with user expertise and variability among different technological systems. The findings of this review support that digital tools in orthodontics offer more precise diagnoses, better treatment planning, and an optimized patient experience. However, implementing these technologies requires overcoming challenges related to the learning curve and system standardization. Future research should focus on addressing these limitations and promoting a smoother integration of digital tools into clinical practice.

References

Kihara H., Sugawara S., Yokota J., Takafuji K., Fukazawa S., Tamada A., et al. Applications of three-dimensional printers in prosthetic dentistry. J Oral Sci [Internet]. 2021; 63 (3): 212-6. Available at: http://dx.doi.org/10.2334/josnusd.21-0072

Eaton K.A. The development of digital dentistry in the UK: An overview. Prim Dent J [Internet]. 2022; 11 (4): 94-8. Available at: http://dx.doi.org/10.1177/20501684221134198

Khanagar S.B., Al-Ehaideb A., Vishwanathaiah S., Maganur P.C., Patil S., Naik S., et al. Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review. J Dent Sci [Internet]. 2021; 16 (1): 482-92. Available at: http://dx.doi.org/10.1016/j.jds.2020.05.022

Pandey R., Kamble R., Kanani H. Revolutionizing smiles: Advancing orthodontics through digital innovation. Cureus [Internet]. 2024; 16 (7): e64086. Available at: http://dx.doi.org/10.7759/cureus.64086

Tanna N.K., Almuzaini A., Mupparapu M. Imaging in Orthodontics. Dental Clinics of North America. 2021; 65.

Rischen R.J., Breuning K.H., Bronkhorst E.M., Kuijpers-Jagtman A.M. Records needed for orthodontic diagnosis and treatment planning: a systematic review. PLoS One [Internet]. 2013; 8 (11): e74186. Available at: http://dx.doi.org/10.1371/journal.pone.0074186

Nordblom N.F., Büttner M., Schwendicke F. Artificial intelligence in orthodontics: Critical review. J Dent Res [Internet]. 2024; 103 (6): 577-84. Available at: http://dx.doi.org/10.1177/00220345241235606

Kumari A., Nayak T.K., Pattanaik S. Digital model in orthodontics. Indian J Public Health Res Dev [Internet]. 2019; 10 (11): 1116. Available at: http://dx.doi.org/10.5958/0976-5506.2019.03659.3

Pachêco-Pereira C., De Luca Canto G., Major P.W., Flores-Mir C. Variation of orthodontic treatment decision-making based on dental model type: A systematic review. Angle Orthod [Internet]. 2015; 85 (3): 501-9. Available at: http://dx.doi.org/10.2319/051214-343.1

Schierz O., Hirsch C., Krey K.-F., Ganss C., Kämmerer P.W., Schlenz M.A. Digital dentistry and its impact on oral health-related quality of life. J Evid Based Dent Pract [Internet]. 2024; 24 (1S): 101946. Available at: http://dx.doi.org/10.1016/j.jebdp.2023.101946

Murugesan A., Sivakumar A. Comparison of accuracy of mesiodistal tooth measurements made in conventional study models and digital models obtained from intraoral scan and desktop scan of study models. J Orthod [Internet]. 2020; 47 (2): 149-55. Available at: http://dx.doi.org/10.1177/1465312520910755

Liczmanski K., Stamm T., Sauerland C., Blanck-Lubarsch M. Accuracy of intraoral scans in the mixed dentition: a prospective non-randomized comparative clinical trial. Head Face Med [Internet]. 2020; 16 (1): 11. Available at: http://dx.doi.org/10.1186/s13005-020-00222-6

Gavounelis N.A., Gogola C.-M.C., Halazonetis D.J. The effect of scanning strategy on intraoral scanner’s accuracy. Dent J [Internet]. 2022; 10 (7): 123. Available at: http://dx.doi.org/10.3390/dj10070123

Hou D., Capote R., Bayirli B., Chan D.C.N., Huang G. The effect of digital diagnostic setups on orthodontic treatment planning. Am J Orthod Dentofacial Orthop [Internet]. 2020; 157 (4): 542-9. Available at: http://dx.doi.org/10.1016/j.ajodo.2019.09.008

Golez A., Vrcon C., Ovsenik M. Jaw morphology and factors associated with upper impacted canines: Case-controlled trial. Appl Sci (Basel) [Internet]. 2024; 14 (17): 7700. Available at: http://dx.doi.org/10.3390/app14177700

Gracea R.S., Winderickx N., Vanheers M., Hendrickx J., Preda F., Shujaat S., et al. Artificial intelligence for orthodontic diagnosis and treatment planning: A scoping review. J Dent [Internet]. 2025; 152 (105442): 105442. Available at: http://dx.doi.org/10.1016/j.jdent.2024.105442

Balashova M., Khabadze Z., Popaduk V., Kulikova A., Bakaev Y., Abdulkerimova S. Artificial intelligence application in assessment of upper airway on cone-beam computed tomography scans. Ebsco.com. 2023; 14 (6).

Mohammed H., Daniel B.K., Farella M. Smile analysis in dentistry and orthodontics-a review. J R Soc N Z [Internet]. 2025; 55 (1): 192-205. Available at: http://dx.doi.org/10.1080/03036758.2024.2316226

Chung E.-J., Yang B.-E., Park I.-Y., Yi S., On S.-W., Kim Y.-H., et al. Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis. Sci Rep [Internet]. 2022; 12 (1): 20585. Available at: http://dx.doi.org/10.1038/s41598-022-25215-0

Charavet C., Bernard J.-C., Gaillard C., Le Gall M. Benefits of Digital Smile Design (DSD) in the conception of a complex orthodontic treatment plan: A case report-proof of concept. Int Orthod [Internet]. 2019; 17 (3): 573-9. Available at: http://dx.doi.org/10.1016/j.ortho.2019.06.019

Adel S.M., Bichu Y.M., Pandian S.M., Sabouni W., Shah C., Vaiid N. Clinical audit of an artificial intelligence (AI) empowered smile simulation system: a prospective clinical trial. Sci Rep [Internet]. 2024; 14 (1): 19385. Available at: http://dx.doi.org/10.1038/s41598-024-69314-6

De Leotard A., Le Norcy E. Comparison of dental movements in digital setups created by orthodontists and “3shape design service®” engineers: A cross-sectional study. Int Orthod [Internet]. 2024; 22 (4): 100919. Available at: http://dx.doi.org/10.1016/j.ortho.2024.100919

Published

2025-08-27