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Aligners, digital transformation, artificial intelligence, companies and the future of orthodontics: embracing the reality

Open Access
|Jun 2025

References

  1. Camcı H, Salmanpour F. Effect of sinus proximity, alveolar bone level, and initial buccolingual inclination on behavior of maxillary first molar under expansion force: a finite element analysis. J World Fed Orthod 2022;11:60-7.
  2. Zorlu M, Camcı H. The relationship between different levels of facial attractiveness and malocclusion perception: an eye tracking and survey study. Prog Orthod 2023;24:29.
  3. Camcı H, Salmanpour F. Comparing the esthetic impact of virtual mandibular advancement, bichectomy, jawline, and their combination. Am J Orthod Dentofacial Orthop 2023;163:756-65.
  4. Schwendicke F, Chaurasia A, Arsiwala L, Lee JH, Elhennawy K, Jost-Brinkmann PG, et al. Deep learning for cephalometric landmark detection: systematic review and meta-analysis. Clin Oral Investig 2021;25:4299-309.
  5. Saaty TL, Ozdemir MS. Why the magic number seven plus or minus two. Math Comput Model 2003;38:233–44.
  6. Hartshorne J, Wertheimer MB. Emerging insights and new developments in clear aligner therapy: a review of the literature. AJO-DO Clin Companion 2022;2:311–24.
  7. d’Apuzzo F, Perillo L, Carrico CK, Castroflorio T, Grassia V, Lindauer SJ, et al. Clear aligner treatment: different perspectives between orthodontists and general dentists. Prog Orthod 2019;20:10.
  8. Wexler A, Nagappan A, Beswerchij A, Choi R.. Direct-to-consumer orthodontics: surveying the user experience. J Am Dent Assoc 2020;151:625.
  9. Papadimitriou A, Kakali L, Pazera P, Doulis I, Kloukos D.. Social media and orthodontic treatment from the patient’s perspective: a systematic review. Eur J Orthod 2020;42:231–41.
  10. Yavan MA, Gökçe G. Orthodontists on social media: instagram’s influence. Turkish J Orthod 2024;37:14.
  11. Lopes Batista KB, dos S. Self-driven cars, self-driven patients, and company-driven orthodontists? Angle Orthod 2018;88:841–2.
  12. Kannuri NK, Jadhav S. Cultivating distress: cotton, caste and farmer suicides in India. Anthropol Med 2021;28:558.
  13. Schmidt CW. Genetically modified foods: breeding uncertainty. Environ Health Perspect 2005;113:A526.
  14. Fleming PS. Orthodontic treatment planning: can we plan for stability? Br Dent J 2021;230:717–21.
  15. Deep Blue - Vikipedi. Accessed January 14, 2025. https://tr.wikipedia.org/wiki/Deep_Blue
  16. Maharaj S, Polson N, Turk A. Chess AI: competing paradigms for machine intelligence. Entropy 2022;24:550.
  17. AlphaZero vs Stockfish 8: A Landmark Battle of Human and Artificial Intelligence in Chess | by David Georgyan | Medium. Accessed January 14, 2025. https://medium.com/@david_georgyan/alphazero-vs-stockfish-8-a-landmark-battle-of-human-and-artificial-intelligence-in-chess-ac6250b2355c
  18. 7 Benefits of Artificial Intelligence (AI) for Business|University of Cincinnati. Accessed March 4, 2025. https://online.uc.edu/blog/business-benefits-artificial-intelligence-ai/
  19. Strunga M, Urban R, Surovková J, Thurzo A. Artificial intelligence systems assisting in the assessment of the course and retention of orthodontic treatment. Healthcare (Basel) 2023;11:683.
  20. Kazimierczak N, Kazimierczak W, Serafin Z, Nowicki P, Nożewski J, Janiszewska-Olszowska J. AI in orthodontics: revolutionizing diagnostics and treatment planning—a comprehensive review. J Clin Med 2024;13:344.
  21. Liu J, Zhang C, Shan Z. Application of artificial intelligence in orthodontics: current state and future perspectives. Healthcare 2023;11:2760.
  22. Monill-González A, Rovira-Calatayud L, d’Oliveira NG, Ustrell-Torrent JM. Artificial intelligence in orthodontics: where are we now? A scoping review. Orthod Craniofac Res. 2021;24 (Suppl 2):6–15.
  23. Albalawi F, Alamoud KA. Trends and application of artificial intelligence technology in orthodontic diagnosis and treatment planning—a review. Appl Sci. 2022;12:11864.
  24. Camcı H, Salmanpour F. Estimating the size of unerupted teeth: Moyers vs deep learning. Am J Orthod Dentofacial Orthop. 2022;161:451–6.
  25. Salmanpour F, Camcı H. Prediction of patient cooperation before orthodontic treatment: Handwriting and artificial intelligence. J World Fed Orthod 2024;13:303–9.
  26. Salmanpour F, Camci H, Salmanpour F, Camci H. Artificial intelligence for predicting orthodontic patient cooperation: voice records versus frontal photographs. APOS Trends Orthod 2024;14:255–63.
  27. Hatia A, Doldo T, Parrini S, Chisci E, Cipriani L, Montagna L, et al. Accuracy and Completeness of ChatGPT-Generated Information on Interceptive Orthodontics: A Multicenter Collaborative Study. J Clin Med 2024;13:735.
  28. Grazieli N, Lima M, Costa L, Santos PB. ChatGPT in orthodontics: limitations and possibilities. Australas Orthod J 2024;40:19–21.
  29. Dursun D, Bilici Geçer R. Can artificial intelligence models serve as patient information consultants in orthodontics? BMC Med Inform Decis Mak. 2024;24:1–9.
DOI: https://doi.org/10.2478/aoj-2025-0011 | Journal eISSN: 2207-7480 | Journal ISSN: 2207-7472
Language: English
Page range: 155 - 159
Submitted on: Feb 1, 2025
Accepted on: Mar 1, 2025
Published on: Jun 19, 2025
Published by: Australian Society of Orthodontists Inc.
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2025 Hasan Camcı, Mehmet Soybelli, Artun Yangın, published by Australian Society of Orthodontists Inc.
This work is licensed under the Creative Commons Attribution 4.0 License.