Journal of Dental and Orofacial Research
  • Year: 2020
  • Volume: 16
  • Issue: 1

An overview of artificial neural network in the field of pediatric dentistry

  • Author:
  • M. Zakirulla1, , Syed Javed2, Nouf Essa H. Assiri3, Albatool M. Alqahtani3, Rasha H. Alzahrani3, Malak Tareq Laheq3, Abdulrahman Ali Alamri3, Asma M. Alqahtani3, Al-Hanoof K. Al-Qahatani3, Atheer A. Alghozi3, Sami M. Alawwad3, Salem Almoammar1
  • Total Page Count: 6
  • Page Number: 20 to 25

1 Assistant Professor, Department of Pediatric Dentistry & Orthodontic Sciences, College of Dentistry, King Khalid University, Abha, Kingdom of Saudi Arabia

2 Assistant Professor, Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia

3 Undergraduate Student, Department of Pediatric Dentistry & Orthodontic Sciences, College of Dentistry, King Khalid University, Abha, Kingdom of Saudi Arabia

*Corresponding Author E-mail: drzak786@gmail.com.

Online published on 9 April, 2021.

Abstract

Artificial intelligence (AI) has been used in a variety of ways in healthcare. AI is a development in the field of technology which is expeditiously advancing and has fascinated the minds of researchers across the globe. AI has also been utilized in the medical decision-making process, and nonprofessionals to get expert-level information. In medicine and dentistry, AI helped in the data acquisition and also in performing virtual surgeries in these fields. Currently, application of AI is rapidly utilized beyond text-based, image-based dental practice. Rapid pace for commercialization were resulted from machine learning based on artificial neural networks to dental treatment through analysis of dental magnetic resonance imaging, cephalometric radiographs and computed tomography. In addition to the diagnosis of visually confirmed dental caries and impacted teeth, studies applying machine learning based on artificial neural networks to dental treatment through analysis of dental magnetic resonance imaging, computed tomography, and cephalometric radiographs are actively underway, and some visible results are emerging at a rapid pace for commercialization. This paper reviewed the history, concept, and the latest application of AI in the field of pediatricdentistry.

Keywords

Artificial Intelligence, Application, Pediatric Dentistry, Machine learning, Neural Networks