Abstract :
Artificial Intelligence (AI) has emerged as a transformative force in Orthodontics, redefining traditional approaches to diagnosis, treatment planning, and patient management. This article explores the integration of AI into orthodontic practice, emphasizing how technologies like machine learning, deep learning, convolutional neural networks, and artificial neural networks have advanced the field. Early applications focused on automating cephalometric analyses and evolved to support predictive modelling for treatment outcomes and the development of clear aligner therapies. The article highlights AI’s capabilities in diagnostic imaging, age and growth assessment, and managing complex cases through sophisticated algorithms and image analysis tools. It also examines cutting-edge applications such as DiagnoCat, transfer learning, and the integration of AI with 3D printing and robotics. Alongside benefits, the article addresses critical challenges, including data bias, ethical considerations, and workflow integration. The future promises AI-powered platforms that merge diagnostics, monitoring, and personalized care delivery, potentially enhancing accessibility through teledentistry. Ultimately, the synergy between AI and clinician expertise will define the next era of orthodontics, one marked by precision, efficiency, and improved patient outcomes. This comprehensive review provides valuable insights into how AI is reshaping modern orthodontic practice and its trajectory toward a more intelligent, patient-centric future.
Keyword :
Orthodontics, Artificial intelligence, Diagnostic imaging, Neural network