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Artificial intelligence has made tremendous inroads in the field of medicine by analyzing large quantity of data to shorten treatment time and improve outcomes. Orthodontists, as early adopters of digital technologies, are at the forefront of dentistry to implement machine learning algorithms to further improve orthodontic care. These technologies, based on data science, will reduce uncertainties of treatment, especially at the predictive level. They will also allow the practitioner to begin with the "end in mind" and direct the clinician towards the most appropriate approach by individualization of treatment plans. AI is definitively not a threat to the profession but the orthodontic profession needs to take an active part in its development to create the best approaches to diagnostic and treatment planning. The objectives of this lecture are to present the latest developments in deep learning, discuss the most common applications of AI in orthodontics and introduce future implementation of this fast evolving technology.
Learning Objectives
Introduce Artificial Intelligence as a new component of orthodontics.
Present the latest developments of deep learning in orthodontics.
Introduce future implementations of AI in orthodontics.
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