ARTIFICIAL INTELLIGENCE IN DENTISTRY: CONCEPTS, APPLICATIONS, RESEARCH CHALLENGES AND THE WAY FORWARD

Abdurahmonova M.A., Ruziyeva X.M.

Authors

Abdurahmonova M.A., Ruziyeva X.M. "Kokand University" Andijan branch.

Abstract

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in orthodontics is a burgeoning field that promises to revolutionize dental care. AI's capacity for data analysis can enhance diagnostic precision, customize treatment plans, and predict treatment outcomes, potentially leading to more efficient and effective patient care. However, the adoption of AI in orthodontics also presents unique challenges, such as ensuring data privacy, managing the cost of technological implementation, and maintaining the irreplaceable human element in patient care. As research continues to delve into the capabilities and limitations of AI in this specialty, it is imperative for the orthodontic community to navigate these challenges thoughtfully. Embracing AI's potential while conscientiously addressing its obstacles can significantly contribute to the evolution of orthodontic practices and patient satisfaction.

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