Browsing by Author "Gargouri, Mourad"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
- Artificial intelligence and orthodontic : achievements, expectations and challengesPublication . Gargouri, Mourad; Proença, Luís; Costa, Hélder NunesArtificial intelligence (AI) is increasingly present in healthcare, especially through the use of intensive computational approaches. Deep learning methodologies, such as Convolutional Neural Networks (CNNs), have proven valuable for healthcare professionals. In Dentistry and particularly in Orthodontics, the integration of AI represents a paradigm shift, revolutionizing diagnosis, treatment planning, and prognosis. The main objective of this work is to conduct a comprehensive and updated review of the literature on recent advances in AI in Orthodontics. The review focuses on the successes achieved, highlighting the applications of deep learning in image analysis, where AI excels at identifying characteristics in radiographs and intraoral examinations with high precision. Additionally, the role of AI as a clinical decision support system is emphasized, helping to formulate individualized and optimized treatment plans. In this study, databases such as PubMed, MEDLINE, Web of Science, Scopus, CENTRAL, and Google Scholar were used, with search terms like “artificial intelligence,” “artificial neural network,” “deep learning,” “machine learning,” and “orthodontics and aligners,” covering the period from 2019 to 2024. The work also addresses future perspectives of AI in Orthodontics, anticipating developments and innovations, including the optimization of ongoing treatments, the integration of new technologies, and ethical considerations in the use of AI in oral health. While recognizing the advantages of AI, challenges such as security and acceptance by the medical community are also identified, with attention to patient data confidentiality and the mechanisms necessary for the responsible use of AI. In conclusion, this work aims to provide a comprehensive perspective on the current state, future opportunities, and challenges of integrating AI in Orthodontics, contributing to a holistic understanding of this promising convergence between technology and specialized orthodontic care.