A narrative exploration of artificial intelligence for orthodontic diagnosis and decision-making in treatment planning

• Main Author: Cachau-Herreillat, Charlotte
• Publication Date: 2024
• Format: Master thesis
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/10400.26/52953
• topic: Artificial intelligence; Orthodontics; Decision-Making; Machine Learning

The author aims to evaluate the use of artificial intelligence (AI) in the field of orthodontics, and in particular in diagnosis and decision-making for the treatment planning. First of all, an explanation will be given of current artificial intelligence and its main areas, in particular machine learning and deep learning, in the context of orthodontic diagnosis (Leonardi et al., 2021b). By exploring the fundamental concepts of AI in current medical applications, this review aims to highlight the various methodologies, techniques and models relevant to orthodontics. We also aim to examine the impact of AI models on personalised orthodontic treatment planning by evaluating the quality of the databases that AI is fed into, providing a comprehensive assessment of the advantages and challenges associated with integrating them into the decision-making process (Etemad et al., 2021). Addressing the clinical impact and future prospects, the author sets out to analyse the effectiveness of AI in orthodontic decision-making, exploring its implications for efficiency, quality of results, trends and future challenges in the field of orthodontics (Jung & Kim, 2016). The author also aims to highlight the ethical considerations surrounding the application of AI in orthodontics, as well as the limitations of current practices and proposed recommendations for ethical and responsible use of AI in healthcare and in particular in the orthodontic patient (Mörch et al., 2021). In concluding the narrative review, the author proposes to highlight possible areas where the application of IA in orthodontics will require further guidance and research in order to increase efficiency in orthodontic diagnosis and treatment planning.