{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T12:09:49Z","timestamp":1793275789831,"version":"4.5.0"},"reference-count":19,"publisher":"Ovid Technologies (Wolters Kluwer Health)","license":[{"start":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T00:00:00Z","timestamp":1732320000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"abstract":"<jats:title>\n                    A\n                    <jats:sc>BSTRACT<\/jats:sc>\n                  <\/jats:title>\n                  <jats:p>This systematic review aims to assess the diagnostic accuracy of artificial intelligence (AI) models specifically developed for detecting and classifying dental caries. A comprehensive electronic literature search was performed on the PubMed, Web of Science, SCOPUS, and Embase databases. The search yielded a total of 397 results. We examined 10 articles that satisfied the selection criteria. In summary, AI-based models show high diagnostic accuracy in recognizing dental caries by analyzing dental radiography pictures.<\/jats:p>","DOI":"10.4103\/jpbs.jpbs_1097_24","type":"journal-article","created":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T15:01:41Z","timestamp":1732546901000},"update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":1,"title":["Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach"],"prefix":"10.4103","author":[{"given":"Mohammad","family":"Haider","sequence":"first","affiliation":[{"name":"Department of Dentistry, Margalla Institute of Health Sciences, Quaid Azam Avenue gulrez -3 Rawalpindi, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2024,11,23]]},"reference":[{"key":"R1-20250114","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1038\/s41568-018-0016-5","article-title":"Artificial intelligence in radiology","volume":"18","author":"Hosny","year":"2018","journal-title":"Nat Rev Cancer"},{"key":"R2-20250114","first-page":"36951","article-title":"Dental caries","author":"Selwitz","year":"2007","journal-title":"Lancet"},{"key":"R3-20250114","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1186\/s12903-023-03013-y","article-title":"Is use of CBCT without proper training justified in paediatric dental traumatology? An exploratory study","volume":"23","author":"Van Gorp","year":"2023","journal-title":"BMC Oral Health"},{"key":"R4-20250114","doi-asserted-by":"crossref","first-page":"15006","DOI":"10.1038\/s41598-021-94093-9","article-title":"Clinically applicable artificial intelligence system for dental diagnosis with CBCT","volume":"11","author":"Ezhov","year":"2021","journal-title":"Sci Rep"},{"key":"R5-20250114","doi-asserted-by":"crossref","first-page":"103425","DOI":"10.1016\/j.jdent.2020.103425","article-title":"Detecting caries lesions of different radiographic extension on bitewings using deep learning","volume":"100","author":"Cantu","year":"2020","journal-title":"J Dent"},{"key":"R6-20250114","doi-asserted-by":"crossref","first-page":"105105","DOI":"10.1016\/j.jdent.2024.105105","article-title":"Validation of artificial intelligence application for dental caries diagnosis on intraoral bitewing and periapical radiographs","volume":"147","author":"Szab\u00f3","year":"2024","journal-title":"J Dent"},{"key":"R7-20250114","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1016\/j.tripleo.2008.03.002","article-title":"An artificial multilayer perceptron neural network for diagnosis of proximal dental caries","volume":"106","author":"Devito","year":"2008","journal-title":"Oral Surg Oral Med Oral Pathol Oral Radiol Endod"},{"key":"R8-20250114","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.jdent.2018.07.015","article-title":"Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm","volume":"77","author":"Lee","year":"2018","journal-title":"J Dent"},{"key":"R9-20250114","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1016\/j.oooo.2020.08.024","article-title":"Automated feature detection in dental periapical radiographs by using deep learning","volume":"131","author":"Khan","year":"2021","journal-title":"Oral Surg Oral Med Oral Pathol Oral Radiol"},{"key":"R10-20250114","doi-asserted-by":"crossref","first-page":"12609","DOI":"10.1038\/s41598-021-92121-2","article-title":"Classification of caries in third molars on panoramic radiographs using deep learning","volume":"11","author":"Vinayahalingam","year":"2021","journal-title":"Sci Rep"},{"key":"R11-20250114","doi-asserted-by":"crossref","first-page":"3081","DOI":"10.3390\/diagnostics12123081","article-title":"Automatic feature segmentation in dental periapical radiographs","volume":"12","author":"Ari","year":"2022","journal-title":"Diagnostics (Basel)"},{"key":"R12-20250114","first-page":"S0022","article-title":"Artificial intelligence in the detection and classification of dental caries","author":"Ahmed","year":"2023","journal-title":"J Prosthet Dent"},{"key":"R13-20250114","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.identj.2023.10.003","article-title":"Dental caries detection and classification in CBCT images using deep learning","volume":"74","author":"Esmaeilyfard","year":"2024","journal-title":"Int Dent J"},{"key":"R14-20250114","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1186\/s12903-024-04120-0","article-title":"AI-Dentify: Deep learning for proximal caries detection on bitewing x-ray-HUNT4 oral health study","volume":"24","author":"P\u00e9rez de Frutos","year":"2024","journal-title":"BMC Oral Health"},{"key":"R15-20250114","doi-asserted-by":"crossref","first-page":"103260","DOI":"10.1016\/j.jdent.2019.103260","article-title":"Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study","volume":"92","author":"Schwendicke","year":"2020","journal-title":"J Dent"},{"key":"R16-20250114","doi-asserted-by":"crossref","first-page":"1672","DOI":"10.3390\/diagnostics11091672","article-title":"Deep learning for caries detection and classification","volume":"11","author":"Lian","year":"2021","journal-title":"Diagnostics (Basel)"},{"key":"R17-20250114","doi-asserted-by":"crossref","first-page":"5192","DOI":"10.3390\/s21155192","article-title":"Classification of approximal caries in bitewing radiographs using convolutional neural networks","volume":"21","author":"Moran","year":"2021","journal-title":"Sens (Basel)"},{"key":"R18-20250114","doi-asserted-by":"crossref","first-page":"2","DOI":"10.21037\/atm-21-2197","article-title":"Importance of bitewing radiographs for the early detection of interproximal carious lesions and the impact on healthcare expenditure in Japan","volume":"10","author":"Grieco","year":"2022","journal-title":"Ann Transl Med"},{"key":"R19-20250114","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1159\/000527418","article-title":"Detection of proximal caries lesions on bitewing radiographs using deep learning method","volume":"56","author":"Chen","year":"2022","journal-title":"Caries Res"}],"container-title":["Journal of Pharmacy and Bioallied Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ovid.com\/10.4103\/jpbs.jpbs_1097_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T13:32:24Z","timestamp":1787837544000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ovid.com\/10.4103\/jpbs.jpbs_1097_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,23]]},"references-count":19,"URL":"https:\/\/doi.org\/10.4103\/jpbs.jpbs_1097_24","relation":{},"ISSN":["0976-4879","0975-7406"],"issn-type":[{"value":"0976-4879","type":"print"},{"value":"0975-7406","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,23]]},"assertion":[{"value":"2024-08-23","name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-09-12","name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}}]}}