An overview of artificial intelligence based automated diagnosis in paediatric dentistry

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...

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Main Authors: Suba B. Rajinikanth, Densingh Samuel Raj Rajkumar, Akshay Rajinikanth, Ponsekar Abraham Anandhapandian, Bhuvaneswarri J.
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Oral Health
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Online Access:https://www.frontiersin.org/articles/10.3389/froh.2024.1482334/full
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author Suba B. Rajinikanth
Densingh Samuel Raj Rajkumar
Akshay Rajinikanth
Ponsekar Abraham Anandhapandian
Bhuvaneswarri J.
author_facet Suba B. Rajinikanth
Densingh Samuel Raj Rajkumar
Akshay Rajinikanth
Ponsekar Abraham Anandhapandian
Bhuvaneswarri J.
author_sort Suba B. Rajinikanth
collection DOAJ
description 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 25th May 2024 to 1st 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.
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publishDate 2024-12-01
publisher Frontiers Media S.A.
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series Frontiers in Oral Health
spelling doaj-art-c5ec084b6bbb47d6986c70ba0a4305d72025-08-20T01:59:57ZengFrontiers Media S.A.Frontiers in Oral Health2673-48422024-12-01510.3389/froh.2024.14823341482334An overview of artificial intelligence based automated diagnosis in paediatric dentistrySuba B. Rajinikanth0Densingh Samuel Raj Rajkumar1Akshay Rajinikanth2Ponsekar Abraham Anandhapandian3Bhuvaneswarri J.4Faculty of Medicine, Srilalithambigai Medical College and Hospital, DR MGR Educational and Research Institute, Chennai, IndiaDepartment of Traumotology & Orthopedics, Kursk State Medical University, Kursk, RussiaSchool of Computer Science and Engineering, VIT University, Vellore, IndiaDepartment of Prosthodontics, Thai Moogambigai Dental College and Hospital, Dr. M.G.R. Educational and Research Institute, Chennai, IndiaDepartment of Periodontics, Sri Balaji Dental College and Hospital, BIHER, Chennai, IndiaArtificial 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 25th May 2024 to 1st 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.https://www.frontiersin.org/articles/10.3389/froh.2024.1482334/fullartificial intelligenceconvoluted neural networkpaediatric dentistrydeep learningautomated diagnosisdental caries
spellingShingle Suba B. Rajinikanth
Densingh Samuel Raj Rajkumar
Akshay Rajinikanth
Ponsekar Abraham Anandhapandian
Bhuvaneswarri J.
An overview of artificial intelligence based automated diagnosis in paediatric dentistry
Frontiers in Oral Health
artificial intelligence
convoluted neural network
paediatric dentistry
deep learning
automated diagnosis
dental caries
title An overview of artificial intelligence based automated diagnosis in paediatric dentistry
title_full An overview of artificial intelligence based automated diagnosis in paediatric dentistry
title_fullStr An overview of artificial intelligence based automated diagnosis in paediatric dentistry
title_full_unstemmed An overview of artificial intelligence based automated diagnosis in paediatric dentistry
title_short An overview of artificial intelligence based automated diagnosis in paediatric dentistry
title_sort overview of artificial intelligence based automated diagnosis in paediatric dentistry
topic artificial intelligence
convoluted neural network
paediatric dentistry
deep learning
automated diagnosis
dental caries
url https://www.frontiersin.org/articles/10.3389/froh.2024.1482334/full
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