Role of artificial intelligence in behavior management of pediatric dental patients-a mini review.

Artificial intelligence Behavior Children Management New technology Pediatric dentistry

Journal

The Journal of clinical pediatric dentistry
ISSN: 1557-5268
Titre abrégé: J Clin Pediatr Dent
Pays: Singapore
ID NLM: 9100079

Informations de publication

Date de publication:
May 2024
Historique:
received: 20 07 2023
accepted: 18 09 2023
medline: 17 5 2024
pubmed: 17 5 2024
entrez: 17 5 2024
Statut: ppublish

Résumé

The influence of behavioral science on various organizations has been experiencing remarkable growth worldwide. With the integration of recent technological advancements, behavioral science's impact has expanded into diverse fields such as finance and policy. The term "artificial intelligence" (AI) has become increasingly prevalent, but it is essential to provide clarity before proceeding. AI pertains to the theory and creation of systems capable of executing tasks that typically necessitate human intelligence. Integrating artificial intelligence (AI) in pediatric dentistry has emerged as a promising avenue to enhance patient care, improve diagnostic accuracy, streamline treatment planning, and augment patient engagement. AI-driven tools such as image analysis, natural language processing, and machine learning algorithms assist in early caries detection, orthodontic treatment planning, behavior management, and personalized oral hygiene education for pediatric patients. This paper presents an overview of AI's applications in pediatric dentistry, particularly behavior management, highlighting its potential to revolutionize traditional pediatric dental practices.

Identifiants

pubmed: 38755978
pii: S1053-4628(24)00138-3
doi: 10.22514/jocpd.2024.055
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

24-30

Informations de copyright

©2024 The Author(s). Published by MRE Press.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

Auteurs

Sonu Acharya (S)

Pediatric and Preventive Dentistry, Institute of Dental Sciences, Siksha 'O'Anusandhan (Deemed to be) University, 751016 Bhubaneswar, India.

Brinda S Godhi (BS)

Department of Pediatric and Preventive Dentistry, JSS Dental College, JSS Academy of Higher Education and research, 570015 Mysuru, India.

Vrinda Saxena (V)

Department of Public Health Dentistry, Government Dental College, 452001 Indore, India.

Ali A Assiry (AA)

Preventive Dental Science Department, Faculty of Dentistry, Najran University, 1988 Najran, Kingdom of Saudi Arabia.

Noura Abdulaziz Alessa (NA)

Department of pediatric dentistry and orthodontics, dental college, King Saud University, 11454 Riyadh, Kingdom of Saudi Arabia.

Ali Azhar Dawasaz (AA)

Department of diagnostic dental sciences, College of dentistry, King Khalid University, 61421 Abha, Kingdom of Saudi Arabia.

Abdullah Alqarni (A)

Department of Diagnostics Dental Sciences and Oral Biology, College of Dentistry, King Khalid University, 61421 Abha, Kingdom of Saudi Arabia.

Mohmed Isaqali Karobari (MI)

Dental Research Unit, Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, 600077 Chennai, India.

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Classifications MeSH