Performance of Artificial Intelligence (AI) Models Designed for Application in Pediatric Dentistry—A Systematic Review

Oral diseases are the most prevalent chronic childhood diseases, presenting as a major public health issue affecting children of all ages in developing and developed countries. Early detection control these is very crucial for child’s oral general wellbeing. The aim this systematic review to assess performance artificial intelligence models designed application pediatric dentistry. A search literature was conducted using different electronic databases, primarily (PubMed, Scopus, Web Science, Embase, Cochrane) secondarily (Google Scholar Saudi Digital Library) studies published from 1 January 2000, until 20 July 2022, related research topic. quality twenty articles that satisfied eligibility criteria were critically analyzed based on QUADAS-2 guidelines. Artificial have been utilized plaque primary teeth, prediction children’s status (OHS) treatment needs (TN); detection, classification dental caries; categorization fissure sealants; determination chronological age; impact adolescent’s life; automated charting teeth; mesiodens supernumerary teeth or mixed dentition. has widely applied dentistry order help less-experienced clinicians making more accurate diagnoses. These efficient identifying categorizing into various risk groups at individual community levels. They also aid preventive strategies, including designing hygiene practices adopting healthy eating habits individuals.