Review Article
Author Details :
Volume : 12, Issue : 1, Year : 2024
Article Page : 25-31
https://doi.org/10.18231/j.jds.2024.006
Abstract
This paper explores the pivotal role of Artificial Intelligence (AI) in transforming orthodontic practice, focusing on its profound impact on diagnosis, treatment planning, and patient care. AI-powered algorithms, coupled with machine learning techniques, have revolutionized orthodontic workflows, enhancing efficiency, precision, and patient outcomes. By analysing vast datasets, AI facilitates predictive modelling for treatment outcomes, aiding orthodontists in devising personalized treatment plans tailored to individual patient needs. Moreover, AI-driven image analysis techniques enable automated cephalometric analysis, intraoral scanning, and 3D imaging interpretation, significantly reducing diagnostic errors and streamlining treatment processes. Furthermore, AI-enabled virtual treatment simulations empower patients to visualize treatment outcomes and actively participate in decision-making processes. The integration of AI into orthodontic practice also extends to tele orthodontics, enabling remote monitoring and virtual consultations, thereby enhancing accessibility and convenience for patients. Despite the transformative potential of AI, challenges such as data privacy, algorithm bias, and the need for clinician training must be addressed to ensure its ethical and effective implementation. Nevertheless, the advent of AI heralds a new era in orthodontics, characterized by unprecedented levels of efficiency, accuracy, and patient satisfaction. This paper underscores the revolutionary impact of AI on orthodontic practice and highlights the opportunities and challenges associated with its integration into clinical workflows.
Keywords: Artificial Intelligence, Orthodontics, Transforming orthodontic practice
How to cite : Verma S K, Aiswareya. G, Bais D R S, Yadav P K, Impact of technology on orthodontic practice. J Dent Spec 2024;12(1):25-31
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Received : 20-02-2024
Accepted : 15-03-2024
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