{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T11:13:03Z","timestamp":1794049983348,"version":"4.8.0"},"reference-count":33,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.fr","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Stomatology, Oral and Maxillofacial Surgery"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1016\/j.jormas.2024.101817","type":"journal-article","created":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T08:48:05Z","timestamp":1709801285000},"page":"101817","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":11,"special_numbering":"S","title":["Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach"],"prefix":"10.1016","volume":"125","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2323-606X","authenticated-orcid":false,"given":"Damla","family":"Torul","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hasan","family":"Akpinar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ibrahim Sevki","family":"Bayrakdar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ozer","family":"Celik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaan","family":"Orhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jormas.2024.101817_bib0001","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s10006-016-0574-1","article-title":"Risk factors associated with oroantral perforation during surgical removal of maxillary third molar teeth","volume":"20","author":"Hasegawa","year":"2016","journal-title":"Oral Maxillofac Surg"},{"issue":"3","key":"10.1016\/j.jormas.2024.101817_bib0002","doi-asserted-by":"crossref","first-page":"509","DOI":"10.4317\/medoral.15.e509","article-title":"Delayed removal of a maxillary third molar from the infratemporal fossa","volume":"15","author":"G\u00f3mez-Oliveira","year":"2010","journal-title":"Med Oral Patol Oral Cir Bucal"},{"issue":"5","key":"10.1016\/j.jormas.2024.101817_bib0003","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1016\/j.ijom.2019.10.009","article-title":"Patient, radiological, and operative factors associated with surgical difficulty in the extraction of third molars: a systematic review","volume":"49","author":"S\u00e1nchez-Torres","year":"2020","journal-title":"Int J Oral Maxillofac Surg"},{"issue":"10","key":"10.1016\/j.jormas.2024.101817_bib0004","doi-asserted-by":"crossref","first-page":"1653","DOI":"10.1016\/j.joms.2013.05.018","article-title":"Displacement of maxillary third molar into the lateral pharyngeal space","volume":"71","author":"Lee","year":"2013","journal-title":"J Oral Maxillofacial Surg"},{"issue":"6","key":"10.1016\/j.jormas.2024.101817_bib0005","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1016\/j.ijom.2010.11.021","article-title":"Displacement of a maxillary third molar into the buccal space: anatomical implications apropos of a case","volume":"40","author":"Kocaelli","year":"2011","journal-title":"Int J Oral Maxillofac Surg"},{"issue":"5","key":"10.1016\/j.jormas.2024.101817_bib0006","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1016\/j.joms.2013.01.001","article-title":"Assessment of factors associated with surgical difficulty during removal of impacted maxillary third molars","volume":"71","author":"de Carvalho","year":"2013","journal-title":"J Oral Maxillofac Surg"},{"issue":"1","key":"10.1016\/j.jormas.2024.101817_bib0007","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.joms.2012.08.004","article-title":"Predicting third molar surgery operative time: a validated model","volume":"71","author":"Susarla","year":"2013","journal-title":"J Oral Maxillofac Surg"},{"issue":"11","key":"10.1016\/j.jormas.2024.101817_bib0008","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1016\/j.joms.2004.05.214","article-title":"Risk factors for third molar extraction difficulty","volume":"62","author":"Susarla","year":"2004","journal-title":"J Oral Maxillofac Surg"},{"issue":"1","key":"10.1016\/j.jormas.2024.101817_bib0009","doi-asserted-by":"crossref","first-page":"475","DOI":"10.3390\/app12010475","article-title":"Automated prediction of extraction difficulty and inferior alveolar nerve injury for mandibular third molar using a deep neural network","volume":"12","author":"Lee","year":"2022","journal-title":"Appl Sci"},{"issue":"1","key":"10.1016\/j.jormas.2024.101817_bib0010","doi-asserted-by":"crossref","first-page":"1954","DOI":"10.1038\/s41598-021-81449-4","article-title":"Deep learning-based prediction of extraction difficulty for mandibular third molars","volume":"11","author":"Yoo","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.jormas.2024.101817_bib0011","doi-asserted-by":"crossref","DOI":"10.1155\/2021\/9751564","article-title":"Artificial intelligence techniques: analysis, application, and outcome in dentistry\u2014A systematic review","author":"Ahmed","year":"2021","journal-title":"Biomed Res Int"},{"issue":"10","key":"10.1016\/j.jormas.2024.101817_bib0012","doi-asserted-by":"crossref","first-page":"3716","DOI":"10.3390\/ijerph17103716","article-title":"Artificial intelligence (AI)-driven molar angulation measurements to predict third molar eruption on panoramic radiographs","volume":"17","author":"Vranckx","year":"2020","journal-title":"Int J Environ Res Public Health"},{"issue":"6","key":"10.1016\/j.jormas.2024.101817_bib0013","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1016\/j.oooo.2022.05.014","article-title":"Automatic visualization of the mandibular canal in relation to an impacted mandibular third molar on panoramic radiographs using deep learning segmentation and transfer learning techniques","volume":"134","author":"Ariji","year":"2022","journal-title":"Oral Surg Oral Med Oral Pathol Oral Radiol"},{"issue":"4","key":"10.1016\/j.jormas.2024.101817_bib0014","doi-asserted-by":"crossref","first-page":"942","DOI":"10.3390\/diagnostics12040942","article-title":"Deep learning-based detection tool for impacted mandibular third molar teeth","volume":"12","author":"Celik","year":"2022","journal-title":"Diagnostics"},{"key":"10.1016\/j.jormas.2024.101817_bib0015","series-title":"Oral and maxillofacial surgery","first-page":"311","author":"Archer","year":"1975"},{"issue":"5","key":"10.1016\/j.jormas.2024.101817_bib0016","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.1016\/j.joms.2012.01.032","article-title":"Maxillary third molar: patterns of impaction and their relation to oroantral perforation","volume":"70","author":"Lim","year":"2012","journal-title":"J Oral Maxillofac Surg"},{"issue":"2","key":"10.1016\/j.jormas.2024.101817_bib0017","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1159\/000442416","article-title":"Assessment of third molar impaction pattern and associated clinical symptoms in a central anatolian turkish population","volume":"25","author":"Yilmaz","year":"2016","journal-title":"Med Princ Pract"},{"issue":"1","key":"10.1016\/j.jormas.2024.101817_bib0018","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1186\/s12903-022-02614-3","article-title":"A deep learning model based on concatenation approach to predict the time to extract a mandibular third molar tooth","volume":"22","author":"Kwon","year":"2022","journal-title":"BMC Oral Health"},{"issue":"1","key":"10.1016\/j.jormas.2024.101817_bib0019","doi-asserted-by":"crossref","first-page":"12281","DOI":"10.1038\/s41598-018-29934-1","article-title":"Predicting postoperative facial swelling following impacted mandibular third molars extraction by using artificial neural networks evaluation","volume":"8","author":"Zhang","year":"2018","journal-title":"Sci Rep"},{"issue":"9","key":"10.1016\/j.jormas.2024.101817_bib0020","doi-asserted-by":"crossref","first-page":"1572","DOI":"10.3390\/diagnostics11091572","article-title":"Deep learning-based prediction of paresthesia after third molar extraction: a preliminary study","volume":"11","author":"Kim","year":"2021","journal-title":"Diagnostics"},{"issue":"1","key":"10.1016\/j.jormas.2024.101817_bib0021","doi-asserted-by":"crossref","first-page":"2456","DOI":"10.1038\/s41598-022-06483-2","article-title":"Artificial intelligence in positioning between mandibular third molar and inferior alveolar nerve on panoramic radiography","volume":"12","author":"Choi","year":"2022","journal-title":"Sci Rep"},{"issue":"7","key":"10.1016\/j.jormas.2024.101817_bib0022","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.3390\/life13071441","article-title":"Artificial intelligence for classifying the relationship between impacted third molar and mandibular canal on panoramic radiographs","volume":"13","author":"Lo Casto","year":"2023","journal-title":"Life"},{"key":"10.1016\/j.jormas.2024.101817_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2023.104519","article-title":"Positional assessment of lower third molar and mandibular canal using explainable artificial intelligence","volume":"133","author":"Kempers","year":"2023","journal-title":"J Dent"},{"issue":"9","key":"10.1016\/j.jormas.2024.101817_bib0024","doi-asserted-by":"crossref","first-page":"1664","DOI":"10.3390\/diagnostics11091664","article-title":"Artificial intelligence model to detect real contact relationship between mandibular third molars and inferior alveolar nerve based on panoramic radiographs","volume":"11","author":"Zhu","year":"2021","journal-title":"Diagnostics"},{"issue":"8","key":"10.1016\/j.jormas.2024.101817_bib0025","doi-asserted-by":"crossref","first-page":"2018","DOI":"10.3390\/diagnostics12082018","article-title":"A fused deep learning architecture for the detection of the relationship between the mandibular third molar and the mandibular canal","volume":"12","author":"Buyuk","year":"2022","journal-title":"Diagnostics"},{"issue":"1","key":"10.1016\/j.jormas.2024.101817_bib0026","doi-asserted-by":"crossref","first-page":"16925","DOI":"10.1038\/s41598-022-21408-9","article-title":"Deep learning model for analyzing the relationship between mandibular third molar and inferior alveolar nerve in panoramic radiography","volume":"12","author":"Sukegawa","year":"2022","journal-title":"Sci Rep"},{"issue":"1","key":"10.1016\/j.jormas.2024.101817_bib0027","doi-asserted-by":"crossref","first-page":"22022","DOI":"10.1038\/s41598-023-49512-4","article-title":"Automatic diagnosis of true proximity between the mandibular canal and the third molar on panoramic radiographs using deep learning","volume":"13","author":"Jeon","year":"2023","journal-title":"Sci Rep"},{"issue":"7","key":"10.1016\/j.jormas.2024.101817_bib0028","doi-asserted-by":"crossref","first-page":"3759","DOI":"10.1007\/s00784-023-04992-6","article-title":"Investigation of the best effective fold of data augmentation for training deep learning models for recognition of contiguity between mandibular third molar and inferior alveolar canal on panoramic radiographs","volume":"27","author":"Papasratorn","year":"2023","journal-title":"Clin Oral Investig"},{"issue":"3","key":"10.1016\/j.jormas.2024.101817_bib0029","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1016\/j.jds.2022.12.008","article-title":"Deep learning model for the automated evaluation of contact between the lower third molar and inferior alveolar nerve on panoramic radiography","volume":"18","author":"Takebe","year":"2023","journal-title":"J Dent Sci"},{"issue":"3","key":"10.1016\/j.jormas.2024.101817_bib0030","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.oooo.2020.04.005","article-title":"Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs","volume":"130","author":"Fukuda","year":"2020","journal-title":"Oral Surg Oral Med Oral Pathol Oral Radiol"},{"key":"10.1016\/j.jormas.2024.101817_bib0031","article-title":"The efficacy of supervised learning and semi-supervised learning in diagnosis of impacted third molar on panoramic radiographs through artificial intelligence model","volume":"51","author":"Kim","year":"2023","journal-title":"Dentomaxillofacial Radiology"},{"issue":"13","key":"10.1016\/j.jormas.2024.101817_bib0032","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.1177\/00220345231200786","article-title":"Preinterventional third-molar assessment using robust machine learning","volume":"102","author":"Carvalho","year":"2023","journal-title":"J Dent Res"},{"issue":"2","key":"10.1016\/j.jormas.2024.101817_bib0033","doi-asserted-by":"crossref","DOI":"10.1177\/03000605221080281","article-title":"Maxillary third molars with horizontal impaction: a cross-sectional study using computed tomography in young Japanese patients","volume":"50","author":"Matsuda","year":"2022","journal-title":"J Int Med Res"}],"container-title":["Journal of Stomatology, Oral and Maxillofacial Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2468785524000594?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2468785524000594?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,2,2]],"date-time":"2025-02-02T15:31:10Z","timestamp":1738510270000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2468785524000594"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["S2468785524000594"],"URL":"https:\/\/doi.org\/10.1016\/j.jormas.2024.101817","relation":{},"ISSN":["2468-7855"],"issn-type":[{"value":"2468-7855","type":"print"}],"subject":[],"published":{"date-parts":[[2024,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach","name":"articletitle","label":"Article Title"},{"value":"Journal of Stomatology, Oral and Maxillofacial Surgery","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jormas.2024.101817","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Masson SAS. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"101817"}}