The Expanding Scope of Artificial Intelligence in Dentistry: Opportunities and Future Perspectives
DOI:
https://doi.org/10.70765/wtr6jf95Keywords:
artifilical intelligence, dentistry, futureAbstract
AI applications in dentistry are multifaceted, ranging from diagnostic imaging and treatment planning to patient management and predictive analytics. Machine learning algorithms can analyze radiographs with higher accuracy than traditional methods, identifying cavities, lesions, and other dental issues at early stages, which contributes to timely interventions and improved patient outcomes. Moreover, AI-driven software has begun to support orthodontics, enabling precise treatment planning through 3D imaging technologies that ensure personalized and effective care.
Robotic-assisted surgeries are also making their mark by enhancing the precision of procedures, such as implant placement and root canal treatments. These technological aids reduce the margin of human error, shorten procedural times, and improve patient recovery rates. Additionally, AI is instrumental in patient management systems that streamline appointment scheduling, follow-up reminders, and treatment histories, thus improving clinic efficiency.
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1.Schwendicke, F., Samek, W., & Krois, J. (2022). Artificial intelligence in dentistry: Chances and challenges. Journal of Dental Research, 101(3), 232-243. DOI: https://doi.org/10.1177/00220345221108953
2.Chen, Y., & Zhang, W. (2023). AI-driven radiographic diagnostics in dental practice: Current capabilities and future potentials. Dentomaxillofacial Radiology, 52(1), 20230120.
3.Uribe, F., & Truong, A. (2024). The impact of AI on orthodontics: A systematic review. Orthodontic Practice Insights, 14(2), 112-120.
4.Mangano, F. G., & Hauschild, U. (2023). Robotics in dental implantology: Enhancing precision and patient outcomes. International Journal of Oral Implantology, 16(4), 425-432.
5.Lee, J. H., & Lim, S. (2022). Machine learning in dental diagnosis: From radiographs to patient management. Computational Dental Innovations Journal, 12(4), 543-551.
6.Bapat, D. R., & Shukla, R. (2024). AI-enhanced patient management systems in dentistry: Efficiency and reliability. Journal of Clinical Dentistry Technology, 9(3), 101-109.
7.Patel, M., & Huang, T. (2023). Advancements in AI-driven dental robotics and its clinical applications. Oral Health & Preventive Dentistry, 21(1), 68-75.
8.Yang, L., & Nakata, K. (2022). Predictive analytics and personalized dental care: The future direction of AI integration. Asian Journal of Dental Research, 15(5), 342-350.
9.Singh, A., & Zhao, M. (2023). Ethical considerations and AI in dental practice. Journal of Dental Ethics, 4(2), 156-165.
10.Oliveira, D. P., & Smith, R. J. (2024). Challenges of integrating AI into dental practices: Costs and clinical adaptation. Global Dental Tech Review, 18(2), 213-221.
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