pISSN 2234-7518
eISSN 2005-372X

Cited by CrossRef (23)

  1. Tamer M. Hamdy. How Artificial Inelegance Is Transforming Aesthetic Dentistry: A Review. Curr Oral Health Rep 2024;11:95
    https://doi.org/10.1007/s40496-024-00372-5
  2. I.M. Kuzyk, A.V. Kotelban. The use of artificial intelligence in orthodontics. ECM 2023;92
    https://doi.org/10.35339/ekm.2023.92.4.kuk
  3. Landon Leavitt, James Volovic, Lily Steinhauer, Taylor Mason, George Eckert, Jeffrey A. Dean, M. Murat Dundar, Hakan Turkkahraman. Can we predict orthodontic extraction patterns by using machine learning?. Orthod Craniofacial Res 2023;26:552
    https://doi.org/10.1111/ocr.12641
  4. Farraj Albalawi, Khalid A. Alamoud. Trends and Application of Artificial Intelligence Technology in Orthodontic Diagnosis and Treatment Planning—A Review. Applied Sciences 2022;12:11864
    https://doi.org/10.3390/app122211864
  5. Karthik Rajaram Mohan, Saramma Mathew Fenn. Artificial Intelligence and Its Theranostic Applications in Dentistry. 2023
    https://doi.org/10.7759/cureus.38711
  6. James Volovic, Sarkhan Badirli, Sunna Ahmad, Landon Leavitt, Taylor Mason, Surya Sruthi Bhamidipalli, George Eckert, David Albright, Hakan Turkkahraman. A Novel Machine Learning Model for Predicting Orthodontic Treatment Duration. Diagnostics 2023;13:2740
    https://doi.org/10.3390/diagnostics13172740
  7. Sevda Kurt-Bayrakdar, Kaan Orhan, Rohan Jagtap. Artificial Intelligence in Dentistry. 2023.
    https://doi.org/10.1007/978-3-031-43827-1_7
  8. Pablo Ramiro Bravo Medina, Celia María Pulgarin Fernández, Ronald Roossevelt Ramos Montiel. Inteligencia artificial en diagnóstico, pronóstico y planificación del tratamiento de alteraciones de la región cráneo-cérvico maxilofacial en ortodoncia. Revisión de la literatura. AD 2023;6:63
    https://doi.org/10.33262/anatomiadigital.v6i1.2.2515
  9. Junqi Liu, Chengfei Zhang, Zhiyi Shan. Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives. Healthcare 2023;11:2760
    https://doi.org/10.3390/healthcare11202760
  10. Piaopiao Qiu, Rongkai Cao, Zhaoyang Li, Jiaqi Huang, Huasheng Zhang, Xueming Zhang. Applications of artificial intelligence for surgical extraction in stomatology: a systematic review. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2024
    https://doi.org/10.1016/j.oooo.2024.05.002
  11. Matthew Parrish, Ella O’Connell, George Eckert, Jay Hughes, Sarkhan Badirli, Hakan Turkkahraman. Short- and Long-Term Prediction of the Post-Pubertal Mandibular Length and Y-Axis in Females Utilizing Machine Learning. Diagnostics 2023;13:2729
    https://doi.org/10.3390/diagnostics13172729
  12. Taylor Mason, Kynnedy M. Kelly, George Eckert, Jeffrey A. Dean, M. Murat Dundar, Hakan Turkkahraman. A machine learning model for orthodontic extraction/non-extraction decision in a racially and ethnically diverse patient population. International Orthodontics 2023;21:100759
    https://doi.org/10.1016/j.ortho.2023.100759
  13. Natalia Kazimierczak, Wojciech Kazimierczak, Zbigniew Serafin, Paweł Nowicki, Jakub Nożewski, Joanna Janiszewska-Olszowska. AI in Orthodontics: Revolutionizing Diagnostics and Treatment Planning—A Comprehensive Review. JCM 2024;13:344
    https://doi.org/10.3390/jcm13020344
  14. Aathira Surendran, Pallavi Daigavane, Sunita Shrivastav, Ranjit Kamble, Abhishek D Sanchla, Lovely Bharti, Mrudula Shinde. The Future of Orthodontics: Deep Learning Technologies. 2024
    https://doi.org/10.7759/cureus.62045
  15. Felix Kunz, Angelika Stellzig-Eisenhauer, Julian Boldt. Applications of Artificial Intelligence in Orthodontics—An Overview and Perspective Based on the Current State of the Art. Applied Sciences 2023;13:3850
    https://doi.org/10.3390/app13063850
  16. Michał Kiełczykowski, Konrad Kamiński, Konrad Perkowski, Małgorzata Zadurska, Ewa Czochrowska. Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review. Diagnostics 2023;13:2640
    https://doi.org/10.3390/diagnostics13162640
  17. Begüm Köktürk, Hande Pamukçu, Ömer Gözüaçık. Evaluation of different machine learning algorithms for extraction decision in orthodontic treatment. Orthod Craniofacial Res 2024
    https://doi.org/10.1111/ocr.12811
  18. N.F. Nordblom, M. Büttner, F. Schwendicke. Artificial Intelligence in Orthodontics: Critical Review. J Dent Res 2024;103:577
    https://doi.org/10.1177/00220345241235606
  19. Andrej Thurzo, Wanda Urbanová, Bohuslav Novák, Ladislav Czako, Tomáš Siebert, Peter Stano, Simona Mareková, Georgia Fountoulaki, Helena Kosnáčová, Ivan Varga. Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis. Healthcare 2022;10:1269
    https://doi.org/10.3390/healthcare10071269
  20. Jelena Roganović, Miroslav Radenković, Biljana Miličić. Responsible Use of Artificial Intelligence in Dentistry: Survey on Dentists’ and Final-Year Undergraduates’ Perspectives. Healthcare 2023;11:1480
    https://doi.org/10.3390/healthcare11101480
  21. Tyler Wood, Justina O. Anigbo, George Eckert, Kelton T. Stewart, Mehmet Murat Dundar, Hakan Turkkahraman. Prediction of the Post-Pubertal Mandibular Length and Y Axis of Growth by Using Various Machine Learning Techniques: A Retrospective Longitudinal Study. Diagnostics 2023;13:1553
    https://doi.org/10.3390/diagnostics13091553
  22. Zhuoying Li, Kuo Feng Hung, Qi Yong H. Ai, Min Gu, Yu-xiong Su, Zhiyi Shan. Radiographic Imaging for the Diagnosis and Treatment of Patients with Skeletal Class III Malocclusion. Diagnostics 2024;14:544
    https://doi.org/10.3390/diagnostics14050544
  23. Grant Zakhar, Samir Hazime, George Eckert, Ariel Wong, Sarkhan Badirli, Hakan Turkkahraman. Prediction of Pubertal Mandibular Growth in Males with Class II Malocclusion by Utilizing Machine Learning. Diagnostics 2023;13:2713
    https://doi.org/10.3390/diagnostics13162713
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