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MINI REVIEW article

Front. Oral. Health
Sec. Preventive Dentistry
Volume 5 - 2024 | doi: 10.3389/froh.2024.1482334
This article is part of the Research Topic Revolutionizing Oral Healthcare: The Pivotal Role of Artificial Intelligence in Diagnosing and Treating Oral Diseases View all 4 articles

An Overview of Artificial Intelligence based Automated Diagnosis in Paediatric Dentistry

Provisionally accepted
Suba Rajinikanth Suba Rajinikanth 1*Rajkumar Densingh Samuel Raj Rajkumar Densingh Samuel Raj 2Akshay Rajinikanth Akshay Rajinikanth 3Ponsekar Abraham Ananda Pandian Ponsekar Abraham Ananda Pandian 4,5
  • 1 Faculty of medicine Srilalithambigai Medical College and Hospital, DR MGR Educational and Research Institute, Chennai, India
  • 2 Kursk State Medical University, Kursk, Kursk Oblast, Russia
  • 3 School of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu, India
  • 4 Thai Moogambigai Dental College and Hospital, Chennai, Tamil Nadu, India
  • 5 Dr. M.G.R. Educational and Research Institute, Chennai, India

The final, formatted version of the article will be published soon.

    Artificial intelligence (AI) is a subfield of computer science with the goal of creating intelligent machines [1] Machine learning is a branch of artificial intelligence. In machine learning a datasets are used for training diagnostic algorithms. This review comprehensively explains the applications of AI in the diagnosis in paediatric dentistry. The online database searches were performed between 25 th May 2024 to 1 st July 2024. Original research studies that focus on the automated diagnosis or predicted the outcome in Paediatric dentistry using AI were included in this review. AI is being used in varied domains of paediatric dentistry like diagnosis of supernumerary and submerged teeth, early diagnosis of dental caries, diagnosis of dental plaques, assessment of bone age, forensic dentistry and preventive oral dental healthcare kit. The field of AI, deep machine learning and CNN's is an upcoming and newer area, with new developments this will open up areas for more sophisticated algorithms in multiple layers to predict accurately, when compared to experienced Paediatric dentists.

    Keywords: artificial intelligence, Convoluted Neural Network, paediatric dentistry, deep learning, Automated diagnosis, Dental Caries, Dental plaques

    Received: 18 Aug 2024; Accepted: 29 Nov 2024.

    Copyright: © 2024 Rajinikanth, Raj, Rajinikanth and Ananda Pandian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Suba Rajinikanth, Faculty of medicine Srilalithambigai Medical College and Hospital, DR MGR Educational and Research Institute, Chennai, India

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.