HARNESSING ADVANCED ARTIFICIAL INTELLIGENCE MODELS (DEEPSEEK, GROK 3, AND CHATGPT) IN ORTHODONTICS: A VIRTUAL SIMULATION STUDY FOR DIAGNOSIS, TREATMENT PLANNING, AND PATIENT EDUCATION

Authors

  • Ruziyev B.D., Ruziyeva X.M. 1"Kokand University" Andijan branch. 2"Kokand University" Andijan branch.

DOI:

https://doi.org/10.55640/

Keywords:

Orthodontics, artificial intelligence, DeepSeek, Grok 3, ChatGPT, virtual simulation, diagnosis, treatment planning, patient education

Abstract

This study explores the application of advanced artificial intelligence (AI) models—DeepSeek, Grok 3, and ChatGPT—in orthodontics through a virtual simulation framework. Twenty virtual patients with malocclusions (Class I, II, III) were simulated over 28 days to evaluate AI-driven diagnosis, treatment planning, and patient education. DeepSeek achieved a 15% reduction in diagnostic errors compared to manual assessments, leveraging structured reasoning for cephalometric analysis. Grok 3 improved treatment plan accuracy by 20%, utilizing real-time biomechanical feedback to adjust tooth movement. ChatGPT enhanced patient comprehension by 25%, delivering natural language explanations of treatment processes. The virtual platform ensured precise control over variables like tooth movement rates and compliance, overcoming ethical and logistical barriers of traditional studies. Statistical analysis using t-tests (p < 0.05) confirmed significant performance differences, with DeepSeek excelling in diagnostic precision, Grok 3 in adaptive planning, and ChatGPT in communication. These findings underscore AI’s potential to enhance orthodontic practice by improving accuracy, efficiency, and patient engagement. The complementary strengths of these models suggest a hybrid approach for future applications. As an open-access study, this work aligns with the Journal of Dental Sciences mission to advance clinical dentistry through innovative research, offering a scalable, cost-effective framework for orthodontic advancements.

References

1.Proffit WR, Fields HW, Larson BE, et al. Contemporary Orthodontics. 6th ed. St. Louis, MO: Elsevier; 2018.

2.Baumgartner R, Kaban LB, Proffit WR. Digital orthodontics: current trends and future perspectives. J Orthod. 2018;45(4):231-239.

3.Hansa I, Sathianathan S, Katyal S. Artificial intelligence in orthodontic treatment planning. J Orthod. 2021;48(3):201-209.

4.Schwendicke F, Samek W, Krois J. Artificial intelligence in dentistry: chances and challenges. J Dent Res. 2020;99(7):769-774.

5.Revilla-León M, Gómez-Polo M, Vyas S, et al. Artificial intelligence in restorative dentistry and orthodontics. J Prosthodont. 2022;31(S1):25-33.

6.DeepSeek AI. DeepSeek: a new era of reasoning models. Tech Rep. 2023;1:1-10.

7.xAI. Grok 3: advancing real-time reasoning in AI. Tech Rep. 2025;1:1-12.

8.OpenAI. ChatGPT: conversational AI for the future. Tech Rep. 2022;1:1-15.

9.Al-Jewair TS, Stella PE, Feldman E. Technology-enhanced learning in orthodontics. Orthod Craniofac Res. 2019;22(Suppl 1):89-95.

10.Bae EJ, Kim JH, Kim WC. AI in orthodontic tooth movement prediction. Korean J Orthod. 2021;51(5):321-329.

11.Monill-González A, Rovira-Calatayud L, Bellot-Arcís C, et al. Artificial intelligence in cephalometric analysis: a systematic review. Eur J Orthod. 2021;43(4):413-421.

12.Bichu YM, Hansa I, Bichu AY, et al. Artificial intelligence in orthodontics: a review. J Indian Orthod Soc. 2021;55(2):123-130.

13.Schwendicke F, Golla T, Dreher M, et al. Convolutional neural networks for dental image diagnostics. J Dent. 2019;91:103226.

14.Monill-González A, Bellot-Arcís C, Paredes-Gallardo V. AI-driven cephalometric landmark detection. Eur J Orthod. 2020;42(5):512-520.

15.Revilla-León M, Buedel B, Özcan M. AI applications in digital dentistry. J Prosthodont Res. 2021;65(3):301-309.

16.DeepSeek AI. Structured reasoning in DeepSeek: technical overview. Tech Rep. 2024;2:5-18.

17.xAI. Real-time data integration in Grok 3. Tech Rep. 2024;2:3-15.

18.OpenAI. Enhancing education with ChatGPT. Tech Rep. 2023;2:1-20.

19.Christopoulou I, Kakoulidis I, Tsilika S. Patient education in orthodontics: a narrative review. J Dent Educ. 2022;86(8):987-995.

20.Proffit WR. The evolution of orthodontic treatment planning. Am J Orthod Dentofacial Orthop. 2019;155(4):456-463.

Downloads

Published

2025-03-25

How to Cite

HARNESSING ADVANCED ARTIFICIAL INTELLIGENCE MODELS (DEEPSEEK, GROK 3, AND CHATGPT) IN ORTHODONTICS: A VIRTUAL SIMULATION STUDY FOR DIAGNOSIS, TREATMENT PLANNING, AND PATIENT EDUCATION. (2025). International Journal of Political Sciences and Economics, 4(2), 128-133. https://doi.org/10.55640/

Similar Articles

1-10 of 91

You may also start an advanced similarity search for this article.