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How Artificial Inelegance Is Transforming Aesthetic Dentistry: A Review

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Abstract

Purpose of Review

This review was conducted to focus on how artificial intelligence (AI) could be applied to provide great development in aesthetic dentistry. The historical development, advantages and disadvantages, classification, types, present and advanced dental applications, and their potential perspectives are summarized and explained.

Recent Findings

Most of the AI applications in dentistry revolve around diagnosis (radiographic or optical images), decision-making improvement, suggestion of treatment plans, and prediction of treatment progress. Various recent innovative AI tools could be employed for the improvement of professional practice and patient outcomes. Dental applications of AI can be divided into four categories: diagnostics, decision-making, treatment planning, and treatment result prediction. Advanced dental applications include the creation of perfect digital smile designs, AI-based 3D printing, assessment of endodontic complexity, AI-based FEA, AI-based CAD/CAM, AI dental phonetic apps, and eye-tracking dental applications.

Summary

AI has significantly transformed aesthetic dentistry in recent years. It is developing quickly, with potential uses in many different aspects like diagnosis, prognosis, and treatment prediction. Although AI is a relatively young technology, it is widely used in dentistry. AI applications in dentistry include nearly all dental disciplines, such as dental radiology, dental caries diagnosis, orthodontics, implant dentistry, fixed prosthetic restorations, and endodontics. The knowledge of the dental professional must be updated regarding the application of AI in the dental field. Hence, the objective of this review was to represent the literature relevant to the applications of AI in the context of diagnosis, clinical decision-making, and predicting successful treatment in aesthetic dentistry and, additionally, to identify the advanced and potential applications of AI.

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Data Availability

All data generated or analyzed during this study are included in this published article.

Abbreviations

AI:

Artificial intelligence

3D:

Three dimension

FEA:

Finite element analysis

CAD/CAM:

Computer-aided design/computer-aided manufacturing

DL:

Deep learning

ML:

Machine learning

DL:

Deep learning

ANN:

Artificial neural networks

CNN:

Convolutional neural networks

GAN:

Generative adversarial networks

CBCT:

Cone-beam computed tomographic

E-CAT:

Endodontic complexity assessment tool

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Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

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  1. Restorative and Dental Materials Department, Oral and Dental Research Institute, National Research Centre (NRC), Giza, 12622, Dokki, Egypt

    Tamer M. Hamdy

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T. M. Hamdy contributed to the conception and design of the review, collection of data, interpretation of the analyzed data, and writing of the manuscript; revised and reviewed the draft manuscript; and read and approved the manuscript.

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Hamdy, T.M. How Artificial Inelegance Is Transforming Aesthetic Dentistry: A Review. Curr Oral Health Rep 11, 95–104 (2024). https://doi.org/10.1007/s40496-024-00372-5

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