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

Journal: The Journal of clinical pediatric dentistry
PMID:

Abstract

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.

Authors

  • Sonu Acharya
    Pediatric and Preventive Dentistry, Institute of Dental Sciences, Siksha 'O'Anusandhan (Deemed to be) University, 751016 Bhubaneswar, India.
  • Brinda S Godhi
    Department of Pediatric and Preventive Dentistry, JSS Dental College, JSS Academy of Higher Education and research, 570015 Mysuru, India.
  • Vrinda Saxena
    Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10019, USA.
  • Ali A Assiry
    Preventive Dental Science Department, Faculty of Dentistry, Najran University, 1988 Najran, Kingdom of Saudi Arabia.
  • Noura Abdulaziz Alessa
    Department of pediatric dentistry and orthodontics, dental college, King Saud University, 11454 Riyadh, Kingdom of Saudi Arabia.
  • Ali Azhar Dawasaz
    Department of diagnostic dental sciences, College of dentistry, King Khalid University, 61421 Abha, Kingdom of Saudi Arabia.
  • Abdullah Alqarni
    Department of Diagnostics Dental Sciences and Oral Biology, College of Dentistry, King Khalid University, 61421 Abha, Kingdom of Saudi Arabia.
  • Mohmed Isaqali Karobari
    Department of Restorative Dentistry & Endodontics, Faculty of Dentistry, University of Puthisastra, Phnom Penh 12211, Cambodia.