Decision Support System for Determination of Forces Applied in Orthodontic Based on Fuzzy Logic

Mahdy, Lamia Nabil; Ezzat, Kadry Ali; Hassanien, Aboul Ella

doi:10.1007/978-3-319-74690-6_16

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…[36,37] Recently, to determine the forces needed to align teeth and the geometry of various springs, decision support systems were developed as a tool to give precise information but neither system has been used clinically. [38] Another orthodontic challenge during treatment planning is predicting the size of unerupted teeth. To address this, a hybrid system using ANN and genetic algorithms was used to predict canine and premolar sizes.…”

Section: Ai For Orthodontic Diagnosis and Treatment Planningmentioning

confidence: 99%

Introduction to artificial intelligence and machine learning into orthodontics: A review

Kondody

Patil

Devika

et al. 2022

APOS

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Over the past few years, artificial intelligence (AI) and machine learning (ML) have revolutionized different healthcare branches, including dentistry. AI in a wider aspect means computers that mimic or behave like human intelligence whereas ML forms a part of AI and enables machines to increase their capabilities by the process of self-adapting algorithms. AI models’ basic principles or fundamentals are purely based on artificial neural networks or convolutional neural networks. This review focuses on giving a comprehensive and detailed explanation about AI and ML technology and their wide range of applications in various sections of orthodontic practice.

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Section: Ai For Orthodontic Diagnosis and Treatment Planningmentioning

confidence: 99%

Introduction to artificial intelligence and machine learning into orthodontics: A review

Kondody

Patil

Devika

et al. 2022

APOS

View full text Add to dashboard Cite

show abstract

“…[42] Compared to the selections made by eight expert orthodontists, the system correctly identified the appropriate headgears 95.6% of the time. Recently, decision support systems were developed to determine the geometry of orthodontic springs used to close extraction spaces [43] and to determine the forces needed to align teeth, [44] but neither system has been applied clinically.…”

Section: Decision Treesmentioning

confidence: 99%

Applications of artificial intelligence and machine learning in orthodontics

Asiri

Tadlock

Schneiderman

et al. 2020

APOS

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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.

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Fuzzy Petri Nets and Interval Analysis Working Together

Suraj

Hassanien

2019

Uncertainty Management With Fuzzy and Rough Sets

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Decision Support System for Determination of Forces Applied in Orthodontic Based on Fuzzy Logic

Cited by 5 publications

References 17 publications

Introduction to artificial intelligence and machine learning into orthodontics: A review

Introduction to artificial intelligence and machine learning into orthodontics: A review

Applications of artificial intelligence and machine learning in orthodontics

Fuzzy Petri Nets and Interval Analysis Working Together

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