{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T02:35:36Z","timestamp":1789785336036,"version":"4.0.1"},"reference-count":63,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T00:00:00Z","timestamp":1751673600000},"content-version":"vor","delay-in-days":23,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background\/Objectives<\/jats:title>\n                  <jats:p>Recent advances in AI have enabled its application in dentistry. This study assessed the diagnostic accuracy of an AI-based model (Diagnocat\u2122) in detecting congenitally missing and supernumerary teeth on panoramic radiographs.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials\/Methods<\/jats:title>\n                  <jats:p>Three groups of 50 orthopantomograms each\u2014control, congenitally missing, and supernumerary teeth\u2014were evaluated by two human observers and Diagnocat\u2122. Diagnostic performance was compared using the Wilcoxon Signed Rank and McNemar\u2019s tests. Agreement was measured using Cohen\u2019s Kappa, and diagnostic metrics (sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV)) were computed using IBM SPSS 29.0.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>For congenitally missing teeth, Cohen\u2019s Kappa indicated strong agreement (0.91); however, significant differences were found in the diagnostic performance (p\u2005&amp;lt;\u20050.01). The model exhibited 84.7% sensitivity, 100.0% specificity, 100.0% PPV, and 99.4% NPV. For supernumerary teeth, the agreement was moderate (Kappa\u2005=\u20050.60), with significant differences in the diagnostic performance (p\u2005&amp;lt;\u20050.001). Sensitivity was 43.9%, while specificity, PPV, and NPV were 100.0%, 100.0%, and 98.9%, respectively.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Limitations<\/jats:title>\n                  <jats:p>Using convenience sampling and a retrospective design may affect generalizability and applicability.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions\/Implications<\/jats:title>\n                  <jats:p>Although the AI-based model shows promise, it is not yet able to replace human assessment as the standard for detecting missing and supernumerary teeth in panoramic radiographs.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ejo\/cjaf054","type":"journal-article","created":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T11:14:23Z","timestamp":1751714063000},"source":"Crossref","is-referenced-by-count":11,"title":["Diagnostic accuracy of an artificial intelligence-based software in detecting supernumerary and congenitally missing teeth in panoramic radiographs"],"prefix":"10.1093","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2855-8623","authenticated-orcid":false,"given":"Miltiadis A","family":"Makrygiannakis","sequence":"first","affiliation":[{"name":"School of Dentistry, European University Cyprus , 6 Diogenous str., Nicosia 2404 ,","place":["Cyprus"]},{"name":"School of Dentistry, National and Kapodistrian University of Athens , 2 Thivon str., Athens 11527 ,","place":["Greece"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7008-7306","authenticated-orcid":false,"given":"Kostis","family":"Giannakopoulos","sequence":"additional","affiliation":[{"name":"School of Dentistry, European University Cyprus , 6 Diogenous str., Nicosia 2404 ,","place":["Cyprus"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Argyro","family":"Kavadella","sequence":"additional","affiliation":[{"name":"School of Dentistry, European University Cyprus , 6 Diogenous str., Nicosia 2404 ,","place":["Cyprus"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6167-7152","authenticated-orcid":false,"given":"Dimitrios","family":"Paraskevis","sequence":"additional","affiliation":[{"name":"School of Dentistry, European University Cyprus , 6 Diogenous str., Nicosia 2404 ,","place":["Cyprus"]},{"name":"Medical School, National and Kapodistrian University of Athens , 75 Mikras Asias str., Athens 11527 ,","place":["Greece"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0513-5110","authenticated-orcid":false,"given":"Eleftherios G","family":"Kaklamanos","sequence":"additional","affiliation":[{"name":"School of Dentistry, European University Cyprus , 6 Diogenous str., Nicosia 2404 ,","place":["Cyprus"]},{"name":"School of Dentistry, Aristotle University of Thessaloniki , Aristotle University of Thessaloniki Campus, Thessaloniki 54124 ,","place":["Greece"]},{"name":"Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences , Dubai Healthcare City, Dubai P.O. Box: 505055 ,","place":["United Arab Emirates"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2025,7,5]]},"reference":[{"key":"2025070507141672200_CIT0001","first-page":"1","article-title":"Panoramic radiography in dental diagnostics","volume":"119","author":"Molander","year":"1996","journal-title":"Swed Dent J Suppl"},{"key":"2025070507141672200_CIT0002","doi-asserted-by":"publisher","first-page":"794","DOI":"10.4329\/wjr.v6.i10.794","article-title":"Recent advances in imaging technologies in dentistry","volume":"6","author":"Shah","year":"2014","journal-title":"World J Radiol"},{"key":"2025070507141672200_CIT0003","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1053\/j.sodo.2004.05.003","article-title":"Digital panoramic radiography: an overview","volume":"10","author":"Angelopoulos","year":"2004","journal-title":"Semin Orthod"},{"key":"2025070507141672200_CIT0004","doi-asserted-by":"publisher","first-page":"6924314","DOI":"10.1155\/2021\/6924314","article-title":"A review of doses for dental imaging in 2010\u20132020 and development of a web dose calculator","volume":"2021","author":"Lee","year":"2021","journal-title":"Radiol Res Pract"},{"key":"2025070507141672200_CIT0005","doi-asserted-by":"publisher","first-page":"e70000","DOI":"10.1111\/cid.70000","article-title":"Artificial intelligence-based detection and numbering of dental implants on panoramic radiographs","volume":"27","author":"Balel","year":"2025","journal-title":"Clin Implant Dent Relat Res"},{"key":"2025070507141672200_CIT0006","volume-title":"Artificial Intelligence for Dentistry. FDI Artif Intell Working Group [Internet].","author":"Schwendicke","year":"2023"},{"key":"2025070507141672200_CIT0007","doi-asserted-by":"publisher","first-page":"20220335","DOI":"10.1259\/dmfr.20220335","article-title":"Personalized dental medicine artificial intelligence and their relevance for dentomaxillofacial imaging","volume":"52","author":"Hung","year":"2023","journal-title":"Dentomaxillofac Radiol"},{"key":"2025070507141672200_CIT0008","doi-asserted-by":"publisher","first-page":"2768","DOI":"10.3390\/diagnostics14232768","article-title":"Comprehensive insights into artificial intelligence for dental lesion detection: a systematic review","volume":"14","author":"Demir","year":"2024","journal-title":"Diagnostics (Basel)"},{"key":"2025070507141672200_CIT0009","doi-asserted-by":"publisher","first-page":"680","DOI":"10.1111\/iej.13265","article-title":"Evaluation of artificial intelligence for detecting periapical pathosis on cone-beam computed tomography scans","volume":"53","author":"Orhan","year":"2020","journal-title":"Int Endod J"},{"key":"2025070507141672200_CIT0010","doi-asserted-by":"publisher","first-page":"18","DOI":"10.2340\/aos.v84.42599","article-title":"Diagnosis of approximal caries in children with convolutional neural networks-based detection algorithms on radiographs: a pilot study","volume":"84","author":"Yavsan","year":"2025","journal-title":"Acta Odontol Scand"},{"key":"2025070507141672200_CIT0011","doi-asserted-by":"publisher","first-page":"3471","DOI":"10.3390\/diagnostics13223471","article-title":"Evaluation of a decision support system developed with deep learning approach for detecting dental caries with cone-beam computed tomography imaging","volume":"13","author":"Amasya","year":"2023","journal-title":"Diagnostics (Basel)"},{"key":"2025070507141672200_CIT0012","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1093\/dmfr\/twae070","article-title":"Detection of periodontal bone loss and periodontitis from 2D dental radiographs via machine learning and deep learning: systematic review employing APPRAISE-AI and meta-analysis","volume":"54","author":"Khubrani","year":"2025","journal-title":"Dentomaxillofac Radiol"},{"key":"2025070507141672200_CIT0013","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/s11282-019-00409-x","article-title":"Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography","volume":"36","author":"Fukuda","year":"2020","journal-title":"Oral Radiol"},{"key":"2025070507141672200_CIT0014","author":"Diagnocat"},{"key":"2025070507141672200_CIT0015","doi-asserted-by":"publisher","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":"2025070507141672200_CIT0016","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1093\/dmfr\/twaf004","article-title":"Utility of the radiological report function of an artificial intelligence system in interpreting CBCT images: a technical report","volume":"54","author":"Feltraco","year":"2025","journal-title":"Dentomaxillofac Radiol"},{"key":"2025070507141672200_CIT0017","doi-asserted-by":"publisher","first-page":"ocr12890","DOI":"10.1111\/ocr.12890","article-title":"Automated cone beam computed tomography segmentation of multiple impacted teeth with or without association to rare diseases: evaluation of four deep learning-based methods","author":"Sinard","year":"2025","journal-title":"Orthod Craniofac Res"},{"key":"2025070507141672200_CIT0018","doi-asserted-by":"publisher","first-page":"4116","DOI":"10.3390\/jcm13144116","article-title":"Endodontic treatment outcomes in cone beam computed tomography images: assessment of the diagnostic accuracy of AI","volume":"13","author":"Kazimierczak","year":"2024","journal-title":"J Clin Med"},{"key":"2025070507141672200_CIT0019","doi-asserted-by":"publisher","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":"2025070507141672200_CIT0020","doi-asserted-by":"publisher","first-page":"224","DOI":"10.3390\/diagnostics12010224","article-title":"Artificial intelligence application in assessment of panoramic radiographs","volume":"12","author":"Zadro\u017cny","year":"2022","journal-title":"Diagnostics (Basel)"},{"key":"2025070507141672200_CIT0021","doi-asserted-by":"publisher","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"},{"key":"2025070507141672200_CIT0022","doi-asserted-by":"publisher","first-page":"2709","DOI":"10.3390\/jcm13092709","article-title":"Periapical lesions in panoramic radiography and CBCT imaging: assessment of AI\u2019s diagnostic accuracy","volume":"13","author":"Kazimierczak","year":"2024","journal-title":"J Clin Med"},{"key":"2025070507141672200_CIT0023","doi-asserted-by":"publisher","first-page":"3401","DOI":"10.3390\/jcm13123401","article-title":"Evaluating the diagnostic accuracy of an AI-driven platform for assessing endodontic treatment outcomes using panoramic radiographs: a preliminary study","volume":"13","author":"Kazimierczak","year":"2024","journal-title":"J Clin Med"},{"key":"2025070507141672200_CIT0024","doi-asserted-by":"publisher","first-page":"h5527","DOI":"10.1136\/bmj.h5527","article-title":"STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies","volume":"351","author":"Bossuyt","year":"2015","journal-title":"BMJ"},{"key":"2025070507141672200_CIT0025","author":"American Association of Orthodontists","year":"2023","journal-title":"Economics of orthodontics analysis reporting on 2022 practice & patient statistics"},{"key":"2025070507141672200_CIT0026","doi-asserted-by":"publisher","first-page":"510","DOI":"10.12968\/denu.2008.35.8.510","article-title":"Diagnosis and management of supernumerary teeth","volume":"35","author":"Shah","year":"2008","journal-title":"Dent Update"},{"key":"2025070507141672200_CIT0027","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1046\/j.1365-263x.2002.00366.x","article-title":"Supernumerary teeth: review of the literature and a survey of 152 cases","volume":"12","author":"Rajab","year":"2002","journal-title":"Int J Paediatr Dent"},{"key":"2025070507141672200_CIT0028","doi-asserted-by":"publisher","first-page":"S231","DOI":"10.4103\/jpbs.JPBS_154_17","article-title":"Prevalence, characteristics, and complications of supernumerary teeth in nonsyndromic pediatric population of South India: a clinical and radiographic study","volume":"9","author":"Syriac","year":"2017","journal-title":"J Pharm Bioallied Sci"},{"key":"2025070507141672200_CIT0029","first-page":"37","article-title":"Dental anomalies of number, form and size: their prevalence in British schoolchildren","volume":"5","author":"Brook","year":"1974","journal-title":"J Int Assoc Dent Child"},{"key":"2025070507141672200_CIT0030","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1055\/s-0040-1712860","article-title":"Epidemiological features and clinical repercussions of supernumerary teeth in a multicenter study: a review of 518 patients with hyperdontia in Spanish population","volume":"14","author":"Brinkmann","year":"2020","journal-title":"Eur J Dent"},{"key":"2025070507141672200_CIT0031","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1179\/1465313314Y.0000000116","article-title":"Prevalence of hypodontia and associated factors: a systematic review and meta-analysis","volume":"41","author":"Khalaf","year":"2014","journal-title":"J Orthod"},{"key":"2025070507141672200_CIT0032","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1111\/j.1600-0528.2004.00158.x","article-title":"A meta-analysis of the prevalence of dental agenesis of permanent teeth","volume":"32","author":"Polder","year":"2004","journal-title":"Community Dent Oral Epidemiol"},{"key":"2025070507141672200_CIT0033","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1186\/2196-1042-14-33","article-title":"Meta-analysis and systematic review of factors biasing the observed prevalence of congenitally missing teeth in permanent dentition excluding third molars","volume":"14","author":"Rakhshan","year":"2013","journal-title":"Prog Orthod"},{"key":"2025070507141672200_CIT0034","first-page":"41","article-title":"Development of the dentition","volume-title":"Introduction to Orthodontics","author":"Pirinen","year":"1995"},{"key":"2025070507141672200_CIT0035","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1046\/j.1365-263x.1997.00230.x","article-title":"Comparison of the pattern of agenesis in the primary and permanent dentitions in a population characterized by agenesis in the primary dentition","volume":"7","author":"Daugaard-Jensen","year":"1997","journal-title":"Int J Paediatr Dent"},{"key":"2025070507141672200_CIT0036","doi-asserted-by":"publisher","first-page":"678","DOI":"10.1111\/ipd.12946","article-title":"Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: a pilot study","volume":"32","author":"Mine","year":"2022","journal-title":"Int J Paediatr Dent"},{"key":"2025070507141672200_CIT0037","doi-asserted-by":"publisher","first-page":"108755","DOI":"10.1016\/j.compbiomed.2024.108755","article-title":"AI-driven localization of all impacted teeth and prediction of winter angulation for third molars on panoramic radiographs: clinical user interface design","volume":"178","author":"Zirek","year":"2024","journal-title":"Comput Biol Med"},{"key":"2025070507141672200_CIT0038","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1093\/dmfr\/twae005","article-title":"Artificial intelligence-based automated preprocessing and classification of impacted maxillary canines in panoramic radiographs","volume":"53","author":"Abdulkreem","year":"2024","journal-title":"Dentomaxillofac Radiol"},{"key":"2025070507141672200_CIT0039","doi-asserted-by":"publisher","first-page":"2524","DOI":"10.3390\/diagnostics14222524","article-title":"Comparative analysis of 3D cephalometry provided with artificial intelligence and manual tracing","volume":"14","author":"Khabadze","year":"2024","journal-title":"Diagnostics (Basel)"},{"key":"2025070507141672200_CIT0040","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/s41591-018-0300-7","article-title":"High-performance medicine: the convergence of human and artificial intelligence","volume":"25","author":"Topol","year":"2019","journal-title":"Nat Med"},{"key":"2025070507141672200_CIT0041","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1186\/s12916-019-1426-2","article-title":"Key challenges for delivering clinical impact with artificial intelligence","volume":"17","author":"Kelly","year":"2019","journal-title":"BMC Med"},{"key":"2025070507141672200_CIT0042","doi-asserted-by":"publisher","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":"2025070507141672200_CIT0043","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.acra.2019.10.006","article-title":"Exploring large-scale public medical image datasets","volume":"27","author":"Oakden-Rayner","year":"2020","journal-title":"Acad Radiol"},{"key":"2025070507141672200_CIT0044","doi-asserted-by":"publisher","first-page":"e1002683","DOI":"10.1371\/journal.pmed.1002683","article-title":"Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study","volume":"15","author":"Zech","year":"2018","journal-title":"PLoS Med"},{"key":"2025070507141672200_CIT0045","doi-asserted-by":"publisher","first-page":"981","DOI":"10.1056\/NEJMp1714229","article-title":"Implementing machine learning in health care: addressing ethical challenges","volume":"378","author":"Char","year":"2018","journal-title":"N Engl J Med"},{"key":"2025070507141672200_CIT0046","doi-asserted-by":"publisher","first-page":"1544","DOI":"10.1001\/jamainternmed.2018.3763","article-title":"Potential biases in machine learning algorithms using electronic health record data","volume":"178","author":"Gianfrancesco","year":"2018","journal-title":"JAMA Intern Med"},{"key":"2025070507141672200_CIT0047","doi-asserted-by":"publisher","first-page":"164","DOI":"10.3390\/jpm14020164","article-title":"Can artificial intelligence replace humans for detecting lung tumors on radiographs? An examination of resected malignant lung tumors","volume":"14","author":"Hamanaka","year":"2024","journal-title":"J Pers Med"},{"key":"2025070507141672200_CIT0048","doi-asserted-by":"publisher","first-page":"18611","DOI":"10.1007\/s00521-022-07469-x","article-title":"Selection of object detections using overlap map predictions","volume":"34","author":"Rana","year":"2022","journal-title":"Neural Comput Appl"},{"key":"2025070507141672200_CIT0049","doi-asserted-by":"publisher","first-page":"186","DOI":"10.3390\/jimaging10080186","article-title":"Overlapping shoeprint detection by edge detection and deep learning","volume":"10","author":"Li","year":"2024","journal-title":"J Imaging"},{"key":"2025070507141672200_CIT0050","first-page":"612","article-title":"Supernumerary teeth\u2014an overview of classification, diagnosis and management","volume":"65","author":"Garvey","year":"1999","journal-title":"J Can Dent Assoc"},{"key":"2025070507141672200_CIT0051","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1111\/ocr.12897","article-title":"Ability of orthodontists to detect, interpret and propose management strategies for incidental findings on pre-treatment panoramic radiographs","volume":"28","author":"Edmonds","year":"2025","journal-title":"Orthod Craniofac Res"},{"key":"2025070507141672200_CIT0052","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1007\/s00056-022-00399-2","article-title":"Prevalence of incidental findings in adult vs. adolescent patients in the course of orthodontic X-ray diagnostics","volume":"84","author":"Klenke","year":"2023","journal-title":"J Orofac Orthop"},{"key":"2025070507141672200_CIT0053","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1043\/0003-3219(2006)076[0098:IFOPAA]2.0.CO;2","article-title":"Incidental findings of pathology and abnormality in pretreatment orthodontic panoramic radiographs","volume":"76","author":"Bondemark","year":"2006","journal-title":"Angle Orthod"},{"key":"2025070507141672200_CIT0054","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1093\/ejo\/cjr035","article-title":"Frequency of errors and pathology in panoramic images of young orthodontic patients","volume":"34","author":"Granlund","year":"2012","journal-title":"Eur J Orthod"},{"key":"2025070507141672200_CIT0055","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1111\/idj.12389","article-title":"Incidental findings in pre-orthodontic treatment radiographs","volume":"68","author":"Hern\u00e1ndez","year":"2018","journal-title":"Int Dent J"},{"key":"2025070507141672200_CIT0056","doi-asserted-by":"publisher","first-page":"3479","DOI":"10.3390\/ijerph20043479","article-title":"Incidental pathologic findings from orthodontic pretreatment panoramic radiographs","volume":"20","author":"Hlongwa","year":"2023","journal-title":"Int J Environ Res Public Health"},{"key":"2025070507141672200_CIT0057","first-page":"46","article-title":"Incidental findings in pretreatment and post-treatment orthodontic panoramic radiographs","volume":"5","author":"Cral","year":"2018","journal-title":"Int J Radiol Radiat Ther"},{"key":"2025070507141672200_CIT0058","doi-asserted-by":"publisher","first-page":"20210528","DOI":"10.1259\/dmfr.20210528","article-title":"Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children","volume":"51","author":"Kim","year":"2022","journal-title":"Dentomaxillofac Radiol"},{"key":"2025070507141672200_CIT0059","doi-asserted-by":"publisher","first-page":"1477","DOI":"10.3390\/diagnostics11081477","article-title":"Automated mesiodens classification system using deep learning on panoramic radiographs of children","volume":"11","author":"Ahn","year":"2021","journal-title":"Diagnostics (Basel)"},{"key":"2025070507141672200_CIT0060","doi-asserted-by":"publisher","first-page":"52","DOI":"10.22514\/jocpd.2024.059","article-title":"Image segmentation of impacted mesiodens using deep learning","volume":"48","author":"Kim","year":"2024","journal-title":"J Clin Pediatr Dent"},{"key":"2025070507141672200_CIT0061","doi-asserted-by":"publisher","first-page":"23061","DOI":"10.1038\/s41598-021-02571-x","article-title":"Automatic detection of mesiodens on panoramic radiographs using artificial intelligence","volume":"11","author":"Ha","year":"2021","journal-title":"Sci Rep"},{"key":"2025070507141672200_CIT0062","doi-asserted-by":"publisher","first-page":"76","DOI":"10.22514\/jocpd.2024.062","article-title":"Classification of presence of missing teeth in each quadrant using deep learning artificial intelligence on panoramic radiographs of pediatric patients","volume":"48","author":"Kim","year":"2024","journal-title":"J Clin Pediatr Dent"},{"key":"2025070507141672200_CIT0063","doi-asserted-by":"publisher","first-page":"118654","DOI":"10.1109\/access.2022.3220335","article-title":"Missing teeth and restoration detection using dental panoramic radiography based on transfer learning with CNNs","volume":"10","author":"Chen","year":"2022","journal-title":"IEEE Access"}],"container-title":["European Journal of Orthodontics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/ejo\/article-pdf\/47\/4\/cjaf054\/63673830\/cjaf054.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/ejo\/article-pdf\/47\/4\/cjaf054\/63673830\/cjaf054.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T11:14:26Z","timestamp":1751714066000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/ejo\/article\/doi\/10.1093\/ejo\/cjaf054\/8186847"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,12]]},"references-count":63,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,6,12]]}},"URL":"https:\/\/doi.org\/10.1093\/ejo\/cjaf054","relation":{},"ISSN":["0141-5387","1460-2210"],"issn-type":[{"value":"0141-5387","type":"print"},{"value":"1460-2210","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2025,8]]},"published":{"date-parts":[[2025,6,12]]},"article-number":"cjaf054"}}