Applications of artificial intelligence and machine learning in orthodontics

Author:

Asiri Saeed N.12,Tadlock Larry P.1,Schneiderman Emet3,Buschang Peter H.1

Affiliation:

1. Departments of Orthodontics, College of Dentistry, Texas A&M University, Dallas, Texas, United States

2. Departments of Biomedical Sciences, College of Dentistry, Texas A&M University, Dallas, Texas, United States,

3. Department of Preventive Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia,

Abstract

Over the past two decades, artificial intelligence (AI) and machine learning (ML) have undergone considerable development. There have been various applications in medicine and dentistry. Their application in orthodontics has progressed slowly, despite promising results. The available literature pertaining to the orthodontic applications of AI and ML has not been adequately synthesized and reviewed. This review article provides orthodontists with an overview of AI and ML, along with their applications. It describes state-of-the-art applications in the areas of orthodontic diagnosis, treatment planning, growth evaluations, and in the prediction of treatment outcomes. AI and ML are powerful tools that can be utilized to overcome some of the clinical problems that orthodontists face daily. With the availability of more data, better AI and ML systems should be expected to be developed that will help orthodontists practice more efficiently and improve the quality of care.

Publisher

Scientific Scholar

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