{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T10:36:28Z","timestamp":1793356588720,"version":"4.5.0"},"reference-count":21,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"3","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>Dental caries remains one of the most prevalent diseases in children, requiring early and accurate detection to prevent progression. Conventional visual examination, although widely used, is subjective and operator-dependent. With advancements in artificial intelligence (AI), image-based AI tools offer potential for more consistent caries detection. This study aimed to compare the validity and reliability of an AI tool (ScanO) with conventional visual examination in identifying dental caries in children.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>This observational study included 200 children attending the Department of Pediatric and Preventive Dentistry. Visual examination was performed independently by two trained examiners, and decayed, missing, and filled teeth (DMFT)\/deft scores were recorded. Standardized intraoral photographs were captured and analyzed using the AI tool ScanO, which generated corresponding DMFT\/deft scores. Data were analyzed using SPSS version 21.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      The AI tool successfully detected dental caries but consistently underestimated DMFT\/deft scores compared to clinical examination (3.48 \u00b1 2.94 vs. 4.70 \u00b1 3.31;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001). Despite this, the intraclass correlation coefficient (ICC) analysis demonstrated excellent reliability for the AI tool (ICC = 0.968 single, 0.984 average) and near-perfect reliability for clinical examination (ICC = 0.999).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>The AI tool demonstrated good reliability in detecting dental caries but consistently underestimated DMFT\/deft scores compared to clinical examination. The clinical method identified more carious lesions, reaffirming its role as the gold standard. Within the limitations of this study, the AI tool can be considered a supplementary screening aid in pediatric dentistry but cannot replace clinical judgment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/jisppd.jisppd_195_26","type":"journal-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T15:00:09Z","timestamp":1782745209000},"page":"283-289","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":3,"title":["Validity and reliability of an artificial intelligence-based application for detecting dental caries in the pediatric population of Navi Mumbai: An observational study"],"prefix":"10.4103","volume":"44","author":[{"given":"Siddhi Kishor","family":"Chavan","sequence":"first","affiliation":[{"name":"Department of Pediatric and Preventive Dentistry, Terna Dental College, Navi Mumbai, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Parin Vasant","family":"Bhanushali","sequence":"additional","affiliation":[{"name":"Department of Pediatric and Preventive Dentistry, Terna Dental College, Navi Mumbai, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farhin Alimiya","family":"Katge","sequence":"additional","affiliation":[{"name":"Department of Pediatric and Preventive Dentistry, Terna Dental College, Navi Mumbai, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vamsi Krishna","family":"Chimata","sequence":"additional","affiliation":[{"name":"Department of Pediatric and Preventive Dentistry, Terna Dental College, Navi Mumbai, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Priti Suresh","family":"Adsul","sequence":"additional","affiliation":[{"name":"Department of Pediatric and Preventive Dentistry, Terna Dental College, Navi Mumbai, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2026,6,29]]},"reference":[{"key":"R1-20260701","first-page":"e41694","article-title":"Transforming dental caries diagnosis through artificial intelligence-based techniques","volume":"15","author":"Anil","year":"2023","journal-title":"Cureus"},{"key":"R3-20260701","first-page":"751","article-title":"Studies on dental caries","volume":"53","author":"Klein","year":"1938","journal-title":"I. Dental status and dental needs of elementary school children. Public Health Rep"},{"key":"R5-20260701","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1177\/00220345211032524","article-title":"Caries detection on intraoral images using artificial intelligence","volume":"101","author":"K\u00fchnisch","year":"2022","journal-title":"J Dent Res"},{"key":"R6-20260701","doi-asserted-by":"crossref","first-page":"2281","DOI":"10.3390\/diagnostics14202281","article-title":"Caries detection and classification in photographs using an artificial intelligence-based model-an external validation study","volume":"14","author":"Frenkel","year":"2024","journal-title":"Diagnostics (Basel)"},{"key":"R7-20260701","doi-asserted-by":"crossref","first-page":"e32921","DOI":"10.2196\/32921","article-title":"Assessing a smartphone app (AICaries) that uses artificial intelligence to detect dental caries in children and provides interactive oral health education: Protocol for a design and usability testing study","volume":"10","author":"Xiao","year":"2021","journal-title":"JMIR Res Protoc"},{"key":"R8-20260701","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":"R9-20260701","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":"R10-20260701","doi-asserted-by":"crossref","first-page":"103849","DOI":"10.1016\/j.jdent.2021.103849","article-title":"Artificial intelligence for caries detection: Randomized trial","volume":"115","author":"Mertens","year":"2021","journal-title":"J Dent."},{"key":"R11-20260701","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1177\/0022034519871884","article-title":"Caries detection with near-infrared transillumination using deep learning","volume":"98","author":"Casalegno","year":"2019","journal-title":"J Dent Res"},{"key":"R12-20260701","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1111\/ger.12432","article-title":"Application of machine learning for diagnostic prediction of root caries","volume":"36","author":"Hung","year":"2019","journal-title":"Gerodontology."},{"key":"R13-20260701","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.1186\/s12903-024-04847-w","article-title":"Diagnostic accuracy of artificial intelligence-assisted caries detection: A clinical evaluation","volume":"24","author":"Zhang","year":"2024","journal-title":"BMC Oral Health"},{"key":"R14-20260701","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1007\/s11282-024-00741-x","article-title":"Artificial intelligence for caries detection: A novel diagnostic tool using deep learning algorithms","volume":"40","author":"Liu","year":"2024","journal-title":"Oral Radiol"},{"key":"R15-20260701","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1177\/0022034520915714","article-title":"Artificial intelligence in dentistry: Chances and challenges","volume":"99","author":"Schwendicke","year":"2020","journal-title":"J Dent Res"},{"key":"R16-20260701","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1016\/j.jds.2020.06.019","article-title":"Developments, application, and performance of artificial intelligence in dentistry \u2013 A systematic review","volume":"16","author":"Khanagar","year":"2021","journal-title":"J Dent Sci"},{"key":"R17-20260701","doi-asserted-by":"crossref","first-page":"1765","DOI":"10.1111\/odi.14659","article-title":"Detecting dental caries on oral photographs using artificial intelligence: A systematic review","volume":"30","author":"Moharrami","year":"2024","journal-title":"Oral Dis"},{"key":"R18-20260701","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1186\/s13005-025-00496-8","article-title":"Accuracy of artificial intelligence in caries detection: A systematic review and meta-analysis","volume":"21","author":"Luke","year":"2025","journal-title":"Head Face Med"},{"key":"R19-20260701","doi-asserted-by":"crossref","first-page":"e0000046","DOI":"10.1371\/journal.pdig.0000046","article-title":"Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated usability test","volume":"1","author":"Al-Jallad","year":"2022","journal-title":"PLOS digital health."},{"key":"R20-20260701","doi-asserted-by":"crossref","first-page":"26752","DOI":"10.1038\/s41598-024-78184-x","article-title":"Developing an AI-based application for caries index detection on intraoral photographs","volume":"14","author":"Adnan","year":"2024","journal-title":"Sci Rep"},{"key":"R21-20260701","first-page":"466","article-title":"Artificial intelligence in the detection of caries","volume":"236","author":"Wadia","year":"2024","journal-title":"Br Dent J"},{"key":"R22-20260701","first-page":"295","article-title":"Artificial intelligence in dental diagnostics: Current evidence and future directions","volume":"60","author":"Srivastava","year":"2023","journal-title":"Dent Med Probl"},{"key":"R23-20260701","first-page":"248","article-title":"Artificial intelligence in dentistry: Current applications and future perspectives","volume":"51","author":"Chen","year":"2020","journal-title":"Quintessence Int."}],"container-title":["Journal of Indian Society of Pedodontics and Preventive Dentistry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ovid.com\/10.4103\/jisppd.jisppd_195_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T12:25:07Z","timestamp":1787747107000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ovid.com\/10.4103\/jisppd.jisppd_195_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":21,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026]]}},"URL":"https:\/\/doi.org\/10.4103\/jisppd.jisppd_195_26","relation":{},"ISSN":["0970-4388","1998-3905"],"issn-type":[{"value":"0970-4388","type":"print"},{"value":"1998-3905","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"2026-04-24","name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-05-27","name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}}]}}