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      Artificial Intelligence Its Uses and Application in Pediatric Dentistry: A Review.

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          Abstract

          In the global epidemic era, oral problems significantly impact a major population of children. The key to a child's optimal health is early diagnosis, prevention, and treatment of these disorders. In recent years, the field of artificial intelligence (AI) has seen tremendous pace and progress. As a result, AI's infiltration is witnessed even in those areas that were traditionally thought to be best left to human specialists. The ultimate ability to improve patient care and make precise diagnoses of illnesses has revolutionized the world of healthcare. In the field of dentistry, the competence to execute treatment measures while still providing appropriate patient behavior counseling is in high demand, particularly in the field of pediatric dental care. As a result, we decided to conduct this review specifically to examine the applications of AI models in pediatric dentistry. A comprehensive search of the subjects was done using a wide range of databases to look for studies that have been published in peer-reviewed journals from its inception until 31 December 2022. After the application of the criteria, only 25 of the 351 articles were taken into consideration for this review. According to the literature, AI is frequently used in pediatric dentistry for the purpose of making an accurate diagnosis and assisting clinicians, dentists, and pediatric dentists in clinical decision making, developing preventive strategies, and establishing an appropriate treatment plan.

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          Author and article information

          Journal
          Biomedicines
          Biomedicines
          MDPI AG
          2227-9059
          2227-9059
          Mar 05 2023
          : 11
          : 3
          Affiliations
          [1 ] Department of Preventive Dental Sciences, Division of Pediatric Dentistry, College of Dentistry, Jazan University, Jazan 45142, Saudi Arabia.
          [2 ] Department of Preventive Dental Sciences, Division of Periodontics, College of Dentistry, Jazan University, Jazan 45142, Saudi Arabia.
          [3 ] Preventive Dental Science Department, College of Dentistry, King Saud Bin Abdulaziz University for Health Sciences, Riyadh 11426, Saudi Arabia.
          [4 ] King Abdullah International Medical Research Centre, Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia.
          Article
          biomedicines11030788
          10.3390/biomedicines11030788
          10044793
          36979767
          339c0bc5-16b6-4954-aa91-d3ebe1c5183d
          History

          pediatric dentistry,machine learning,deep learning,convolutional neural network,artificial intelligence

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