Machine Learning and Artificial Intelligence in Orthodontics: Current Status and Future Perspectives

Anup Kanase, Mansi Maurya

Abstract: Artificial Intelligence (AI) is rapidly transforming Orthodontic practice by enhancing diagnostic capabilities, personalizing treatment planning, and optimizing clinical workflows. Leveraging advanced machine learning, deep learning and image processing techniques, AI improves the accuracy and efficiency of tasks such as cephalometric landmark detection, skeletal maturity assessment and malocclusion classification. Integration with digital tools like three-dimensional 3D imaging, intraoral scanning and clear aligner manufacturing has revolutionized Orthodontic interventions, enabling precise treatment simulations and dynamic patient monitoring. While AI offers significant benefits including improved treatment outcomes, reduced clinician workload and augmented educational experiences it also presents challenges related to data privacy, ethical concerns, cost barriers, and model transparency. This comprehensive review traces the historical development of AI in Orthodontics, surveys current applications, discusses advantages and limitations and explores future directions including robotics, Information of things (IoT) integration and precision medicine. Understanding the evolving landscape of AI will empower clinicians and researchers to harness its potential responsibly, ultimately fostering more effective, patient-centered Orthodontic care.

Keywords: Orthodontics, Artificial intelligence, Machine Learning, Patient Monitoring

How to Cite?: Anup Kanase, Mansi Maurya, "Machine Learning and Artificial Intelligence in Orthodontics: Current Status and Future Perspectives", Volume 14 Issue 8, August 2025, International Journal of Science and Research (IJSR), Pages: 985-989, https://www.ijsr.net/getabstract.php?paperid=SR25819131617, DOI: https://dx.doi.org/10.21275/SR25819131617