{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T13:14:27Z","timestamp":1791983667626,"version":"4.4.0"},"reference-count":81,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T00:00:00Z","timestamp":1755043200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>The objective of this systematic review was to systematically collect and analyze multiple published systematic reviews to address the following research question \u201cAre artificial intelligence (AI) algorithms effective for the detection of dental caries?\u201d. A systematic search of five electronic databases, including the Cochrane Library, Embase, PubMed, Scopus, and Web of Science, was conducted until October 15, 2024, with a language restriction to English. All fourteen systematic reviews which assessed the performance of AI algorithms for the detection of dental caries were included. From 137 primary original research studies within the systematic reviews, only 20 reported the data necessary for inclusion in the meta-analysis. Pooled sensitivity was 0.85 (95% Confidence Interval (CI): 0.83 to 0.93), specificity was 0.90 (95% CI: 0.85 to 0.95), and log diagnostic odds ratio was 4.37 (95% CI: 3.16 to 6.27). Area under the summary ROC curve was 0.86. Positive post-test probability was 79% and negative post-test probability was 6%. In conclusion, this meta-analysis has revealed that caries diagnosis using AI is accurate and its use in clinical practice is justified. Future studies should focus on specific\u00a0subpopulations, depth of caries, and real-world performance validation to further improve the accuracy of AI in caries diagnosis.<\/jats:p>","DOI":"10.1371\/journal.pone.0329986","type":"journal-article","created":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T17:45:11Z","timestamp":1755107111000},"page":"e0329986","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":19,"title":["Examining the diagnostic accuracy of artificial intelligence for detecting dental caries across a range of imaging modalities: An umbrella review with meta-analysis"],"prefix":"10.1371","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0014-471X","authenticated-orcid":true,"given":"Sarah","family":"Arzani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Karimi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pedram","family":"Iranmanesh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3961-6702","authenticated-orcid":true,"given":"Maryam","family":"Yazdi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad A.","family":"Sabeti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Hossein","family":"Nekoofar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jafar","family":"Kolahi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heejung","family":"Bang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul M.H.","family":"Dummer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2025,8,13]]},"reference":[{"issue":"4","key":"pone.0329986.ref001","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1177\/00220345211056247","article-title":"Global Burden and Inequality of Dental Caries, 1990 to 2019","volume":"101","author":"PYF Wen","year":"2022","journal-title":"J Dent Res"},{"key":"pone.0329986.ref002","unstructured":"EFP reveals stunning global cost of gingivitis, caries, tooth loss. https:\/\/www.dental-tribune.com\/news\/efp-reveals-stunning-global-cost-of-gingivitis-caries-tooth-loss\/#:~:text=Using%20new%20modelling%20to%20estimate,4.9%25%20of%20global%20healthcare%20expenditure"},{"key":"pone.0329986.ref003","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1159\/000224211","article-title":"Traditional lesion detection aids","volume":"21","author":"KW Neuhaus","year":"2009","journal-title":"Monogr Oral Sci"},{"issue":"4","key":"pone.0329986.ref004","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1007\/s00784-024-05597-3","article-title":"ORCA-EFCD consensus report on clinical recommendation for caries diagnosis. 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