Transformative Digital Innovations in Orthodontics: The Role of Artificial Intelligence, 3D Printing, and Facial Recognition in Enhancing Diagnostic and Treatment Approaches

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Samarah Adel Basakran, Raghad Yasser Abuzaid, Malak Hussein Alahmari, Nourah Mushabab Alahmari, Amal Bader Almutairi, Dalal Munays Al-Qahtani, Khawla Yousef Alqallaf, Mariam Swilam Alqahtani, Majed Nuwayf D lmutairi, Ghafran Abdulelah Alshahrani, Rawan Ayidh Alqahtani, Khawla Khalid Alothman.

Abstract

Background: The integration of digital technologies in orthodontics, particularly artificial intelligence (AI), 3D printing, and facial recognition, is transforming diagnostic and treatment methodologies. This paradigm shift emphasizes a patient-centered approach that prioritizes aesthetic outcomes and individualized care.


Methods: This scoping review examines the current literature on the application of AI, 3D printing, and facial recognition technologies in orthodontics. A comprehensive search was conducted using the Scopus database, focusing on English-language publications from 2018 to 2023. The review evaluates the impact of these technologies on treatment planning, patient outcomes, and the overall efficiency of orthodontic practice.


Results: The findings indicate that AI enhances diagnostic accuracy and treatment planning through automated analysis of cephalometric data and facial structures. 3D printing facilitates the creation of customized orthodontic appliances, improving fit and comfort. Facial recognition technologies offer innovative solutions for assessing craniofacial aesthetics and treatment outcomes. Despite the benefits, challenges such as data privacy, algorithm transparency, and the need for clinical validation remain significant.


Conclusion: The adoption of digital technologies in orthodontics is revolutionizing the field by enhancing precision and personalization in treatment. However, ongoing research is essential to address the limitations and ensure the successful integration of these innovations into clinical practice. Future studies should focus on the long-term impact of these technologies on patient care and outcomes.

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