Artificial Intelligence in Orthodontics: Current Trends and Future Directions
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Keywords

Artificial Intelligence
Orthodontics
Machine Learning
Deep Learning
Computer Vision
Diagnosis
Treatment Planning
Patient Outcomes
Future Directions

How to Cite

[1]
R. Reddy Yellu, Y. Kukalakunta, and P. Thunki, “Artificial Intelligence in Orthodontics: Current Trends and Future Directions”, Journal of Bioinformatics and Artificial Intelligence, vol. 4, no. 1, pp. 50–55, May 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/15

Abstract

Artificial intelligence (AI) has revolutionized various industries, including healthcare, and orthodontics is no exception. This paper explores the current trends and future directions of AI in orthodontic treatments. AI technologies such as machine learning, deep learning, and computer vision are being increasingly applied to improve diagnosis, treatment planning, and patient outcomes in orthodontics. This paper reviews the latest research and developments in AI applications in orthodontics, discusses challenges and limitations, and proposes future directions for integrating AI into orthodontic practice.

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