The Impact of Artificial intelligence on Smile Esthetics: A Comprehensive Systematical Review of Literature

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Abdullah Ebeadan Alshebany, Ahmed Mohammed Ahmed Khardali, Alnomari J. Sultan, Essa Ahmed Khormi, Ali Essa Murwahi, Saeedah Mohammed Alzahrani, Khalid Yahya Hakami, Ziad Mohammed Alsalmi, Sultan Saeed Al Dughar, Fawzeya Moussa Khormi.

Abstract

Background: The interest in using AI in aesthetic dentistry has been growing in recent years due to the ability of creating AI tools for smile design and treatment planning. AI’s ability to increase diagnostic accuracy, deliver personalized medicine, and give better outcomes marks a revolution in medicine but the full value, benefit, and outcomes of these interventions are definitely not comprehensively understood.


Aim: The purpose of this work is to present an overview of contemporary AI-implemented technologies for smile design and aesthetic planning in dental practice as well as their relevance to potential improvement of clinical outcomes, patient satisfaction, and the effectiveness of treatments delivered.


Method: Ten recent studies published between 2020 and 2024 dedicated to AI in aesthetic dentistry were reviewed. Studies were selected from four accepted databases from PubMed, Scopus, IEEE Xploreand and Web of Science indicated the peer reviewed journals.


Results: The study showed that smile design using aids in artificial intelligence is more accurate in aesthetic work and those patients and dentists have a high satisfaction with the simulations made by artificial intelligence. REBEL system and digital smile design platforms pre-treatment solutions enhanced patient satisfaction compared to those who received no pre-treatment planning.


Conclusion: It can be added that application of the AI technologies in aesthetic dentistry gives substantial upgrades in smile design and treatment planning. These innovations appear to have significant promise in enhancing clinical outcomes and patient satisfaction, yet empirical work is required to address selected ethical concerns and find out the true feasibility and efficacy of such interventions in other real-world clinical contexts.


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