{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T12:09:50Z","timestamp":1793275790027,"version":"4.5.0"},"reference-count":7,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"Suppl 4","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/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":[[2025,12]]},"abstract":"\n Background:<\/jats:title>\n Early detection of dental caries is critical for implementing preventive measures and avoiding invasive treatments. Traditional radiographic interpretation by clinicians, though effective, is prone to variability. Artificial intelligence (AI)-assisted interpretation has emerged as a promising adjunct.<\/jats:p>\n <\/jats:sec>\n \n Objective:<\/jats:title>\n To assess and compare the diagnostic accuracy and efficiency of AI-assisted radiographic interpretation with conventional clinician-based evaluation in the early detection of dental caries.<\/jats:p>\n <\/jats:sec>\n \n Methods:<\/jats:title>\n A cross-sectional analytical study was conducted on 400 bitewing radiographs from 200 patients aged 18\u201340 years. Two groups were compared: Group A (conventional method) with three experienced clinicians, and Group B (AI-assisted method) using a convolutional neural network (CNN)-based software. The reference standard was consensus diagnosis after clinical validation. Diagnostic performance was evaluated using sensitivity, specificity, accuracy, and time-efficiency metrics.<\/jats:p>\n <\/jats:sec>\n \n Results:<\/jats:title>\n \n AI-assisted interpretation showed significantly higher sensitivity (91.2% \u00b1 3.5) than conventional interpretation (84.6% \u00b14.2;\n P<\/jats:italic>\n = 0.01). Specificity was marginally better in the conventional group (89.5% \u00b13.1) compared to AI-assisted (87.1% \u00b1 2.9;\n P<\/jats:italic>\n = 0.14). Overall diagnostic accuracy was higher in the AI group (89.4% \u00b1 3.2 vs. 87.0% \u00b13.6;\n P<\/jats:italic>\n = 0.04). Mean interpretation time was significantly lower in the AI group (21.5 \u00b1 5.3 seconds) than in the clinician group (48.2 \u00b1 6.7 seconds;\n P<\/jats:italic>\n < 0.001).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion:<\/jats:title>\n AI-assisted radiographic interpretation demonstrated superior diagnostic accuracy and markedly improved efficiency compared to conventional methods in early caries detection. AI tools can serve as reliable diagnostic adjuncts, enhancing clinical workflow and reducing diagnostic variability.<\/jats:p>\n <\/jats:sec>","DOI":"10.4103\/jpbs.jpbs_1278_25","type":"journal-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T08:00:43Z","timestamp":1766044843000},"page":"S3192-S3194","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":2,"title":["Diagnostic Accuracy and Efficiency of AI-Assisted Radiographic Interpretation Compared to Conventional Methods in Early Detection of Dental Caries"],"prefix":"10.4103","volume":"17","author":[{"given":"Hardikkumar B.","family":"Patel","sequence":"first","affiliation":[{"name":"Department of Conservative Dentistry and Endodontics, Siddhpur Dental College and Hospital, Siddhpur, Gujarat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jasmine","family":"Marwaha","sequence":"additional","affiliation":[{"name":"Department of Conservative Dentistry and Endodontics, National Dental College and Hospital, Derabassi, Punjab, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nidhi","family":"Hirani","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine and Radiology, Government Dental College and Hospital, Jamnagar, Gujarat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pratik","family":"Suthar","sequence":"additional","affiliation":[{"name":"Department of Conservative Dentistry and Endodontics, Ahmedabad Dental College, Ahmedabad, Gujarat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashtha","family":"Arya","sequence":"additional","affiliation":[{"name":"Department of Conservative Dentistry and Endodontics, SGT Dental College, Hospital and Research Institute, SGT University, Gurugram, Haryana, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neetu","family":"Pandey","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine and Radiology, Mansarovar Dental College, Bhopal, Madhya Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2025,12,17]]},"reference":[{"key":"R1-20251218","doi-asserted-by":"crossref","first-page":"1566","DOI":"10.3390\/jcm14051566","article-title":"Comparison of the diagnostic accuracy of an AI-based system for dental caries detection and clinical evaluation conducted by dentists","volume":"14","author":"Kwiatek","year":"2025","journal-title":"J Clin Med"},{"key":"R2-20251218","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1186\/s12903-023-03027-6","article-title":"Artificial intelligence in the diagnosis of dental diseases on panoramic radiographs: A preliminary study","volume":"23","author":"Zhu","year":"2023","journal-title":"BMC Oral Health"},{"key":"R3-20251218","doi-asserted-by":"crossref","first-page":"7494","DOI":"10.21037\/qims-23-762","article-title":"Comparison of artificial intelligence vs. junior dentists\u2019 diagnostic performance based on caries and periapical infection detection on panoramic images","volume":"13","author":"G\u00fcne\u00e7","year":"2023","journal-title":"Quant Imaging Med Surg"},{"key":"R4-20251218","doi-asserted-by":"crossref","first-page":"572","DOI":"10.3390\/medicina61040572","article-title":"AI Efficiency in dentistry: comparing artificial intelligence systems with human practitioners in assessing several periodontal parameters","volume":"61","author":"Butnaru","year":"2025","journal-title":"Medicina (Kaunas)"},{"key":"R5-20251218","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":"R6-20251218","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1186\/s12903-025-05989-1","article-title":"Artificial intelligence (AI) in restorative dentistry: Current trends and future prospects","volume":"25","author":"Najeeb","year":"2025","journal-title":"BMC Oral Health"},{"key":"R7-20251218","doi-asserted-by":"crossref","first-page":"199","DOI":"10.5624\/isd.20230109","article-title":"Determining the reliability of diagnosis and treatment using artificial intelligence software with panoramic radiographs","volume":"53","author":"Orhan","year":"2023","journal-title":"Imaging Sci Dent"}],"container-title":["Journal of Pharmacy and Bioallied Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ovid.com\/10.4103\/jpbs.jpbs_1278_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T15:46:35Z","timestamp":1787067995000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ovid.com\/10.4103\/jpbs.jpbs_1278_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":7,"journal-issue":{"issue":"Suppl 4","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.4103\/jpbs.jpbs_1278_25","relation":{},"ISSN":["0976-4879","0975-7406"],"issn-type":[{"value":"0976-4879","type":"print"},{"value":"0975-7406","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"2025-07-22","name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-08-12","name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}}]}}