ARTIFICIAL INTELLIGENCE IN ORTHODONTICS- REVIEW OF LITERATURE

Abstract

As people look for more efficient, modern, and intelligent ways to complete tasks, artificial intelligence (AI) is evolving more quickly. In many scientific and technological domains, the fusion of human intelligence and machine learning has advanced to the point where the technology is already a part of everyday life. By using self-adapting algorithms, the computer mimics human intellect and enhances its capabilities. Artificial intelligence has brought many benefits in various industries, particularly in medicine, where it plays a vital role in the evolution of the medical industry, ranging from virtual assistants to producing a better diagnosis and treatment using accumulated patient data. The main goals of orthodontic treatment are to modify the occlusion, regulate the growth of dentoalveolar components, and address growth anomalies. An effective assessment of these difficulties assists in evaluating the need for therapy and to prioritize it. A successful orthodontic practice depends on accurate diagnosis and providing comprehensive, pertinent information. Artificial intelligence has recently been used in orthodontics to help in decision-making and treatment planning. In order to save burden and time while simultaneously improving accuracy and monitoring, artificial intelligence can be used to simulate a variety of clinical scenarios in the three crucial steps of diagnosis, treatment planning, and treatment. Since clinical practice involves more than just diagnosis and treatment planning, artificial intelligence cannot in any way take the role of a dentist. Therefore, humans should be familiar with the fundamentals of artificial intelligence models to help with clinical judgment, not to take the place of human knowledge and skill.

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