Artificial intelligence and machine learning in orthodontics

Süleyman Kutalmış Büyük,Sedanur Hatal

doi:10.21601/ortadogutipdergisi.547782

Süleyman Kutalmış Büyük, Sedanur Hatal

Open Access

https://doi.org/10.21601/ortadogutipdergisi.547782

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Journal: Ortadoğu Tıp Dergisi	Publication Date: Dec 1, 2019
Citations: 1	License type: cc-by

Affiliation: Ordu University

Abstract

Objective: The clinical use of information technology in orthodontics has increased significantly in recent years. The aim of this systematic review is to perform a scientific analysis of artificial intelligence and machine learning in orthodontics. Methods: An electronic search and manual search were performed on September 25, 2018 about using artificial intelligence and machine learning in orthodontics. Results: A total of 107 studies were found. Nine studies were excluded because of duplication. After exclusion of all the irrelevant and non-English articles, 23 full-text articles remained to be included in this systematic review. 3 additional articles were included in this systematic review. Twelve automatic cephalometric landmark determination, 6 orthodontic diagnosis and treatment outcomes, 2 orthodontic tooth extraction decision, 3 facial attractiveness, 1 headgear selection, 1 touchless sterilisation system and 1 automatic skeletal age determination studies were included in this systematic review. Conclusions: Artificial intelligence and machine learning are mainly focused on determination of automatic cephalometric points, facial attractiveness and tooth extraction decisions for orthodontic purposes. The use of artificial intelligence in orthodontics is important in terms of obtaining more accurate and rapid results clinically.

Highlights

The clinical use of information technology in dentistry has increased significantly over the past 25 years
Twelve automatic cephalometric landmark determination, 6 orthodontic diagnosis and treatment outcomes, 2 orthodontic tooth extraction decision, 3 facial attractiveness, 1 headgear selection, 1 touchless sterilisation system and 1 automatic skeletal age determination studies were included in this study
Jung and Kim reported that artificial intelligence (AI) and machine learning (ML) would be a new and reliable approach to detect tooth extraction in orthodontic treatment [7]

Summary

Introduction

The clinical use of information technology in dentistry has increased significantly over the past 25 years. The use of technology, especially artificial intelligence (AI) and machine learning (ML) technology, in medical and dental practices reduces cost, time, required human expertise and medical errors. AI is a concept that imitates human intelligence through computer technology. It allows examination, organization, representation and cataloguing of medical information. Organization, representation and cataloguing of medical information It offers a rich discipline of content for future scientific medical expertise. Software that use AI techniques have some significant advantages over those that use more conventional methods. These programs have a greater capacity to quickly narrow down the number of diagnostics [1]

Results

Discussion

Conclusion